Monitor & Evaluate Models in Production with Label Studio
Understanding how your production model is performing is the most crucial yet most challenging step in the Machine Learning pipeline. This tutorial gives you an easy way to keep a pulse on what is really happening in production.
Micaela Kaplan
December 4, 2024
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Announcing Label Studio 1.14.0 With Video Frame Classification
Micaela Kaplan
November 4, 2024
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Monitor & Evaluate Models in Production with Label Studio
Understanding how your production model is performing is the most crucial yet most challenging step in the Machine Learning pipeline. This tutorial gives you an easy way to keep a pulse on what is really happening in production.
Micaela Kaplan
December 4, 2024
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Why Humans Still Matter in the World of GenAI
While data annotation for LLMs may look and feel somewhat different than the data annotation of the past, it’s still a crucial step of the machine learning process.
Micaela Kaplan
November 13, 2024
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Announcing Label Studio 1.14.0 With Video Frame Classification
We’re excited to announce the 1.14.0 release of Label Studio! This release includes many improvements and a powerful new video annotation feature: Video Frame Classification.
Micaela Kaplan
November 4, 2024
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Fine-Tuning OpenAI Models: A Guide with Wikipedia Data
Go through the entire fine-tuning process on OpenAI’s platform—from preparing recently-posted Wikipedia data to estimating costs and deploying your fine-tuned model.
Jimmy Whitaker
October 29, 2024
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Ameru: Labeling for a Greener World
Learn how Ameru is using Label Studio to power their smart garbage bins as they work to accelerate an economically sustainable zero-waste future.
Micaela Kaplan
October 8, 2024
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Webhooks in Label Studio: When And How To Use Them
Learn when you should use webhooks vs. the API in Label Studio, and see examples of what you can do with webhooks.
Caitlin Wheeless
October 1, 2024
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Object Detection With Ultralytics YOLOv8
Learn how to use Ultralytics YOLOv8 object detection model with Label Studio.
HumanSignal Team
September 26, 2024
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OpenAI Structured Outputs with Label Studio
OpenAI’s new Structured Outputs feature allows you to ensure outputs conform to a defined JSON structure. In this blog, we’ll explore how to leverage this feature for various labeling tasks.
Jimmy Whitaker
September 24, 2024
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New Ultralytics YOLOv8 Integration For Label Studio
We’ve released a new version of the Ultralytics YOLO ML backend connector designed for YOLOv8 and YOLO11, which now supports advanced object detection, segmentation, classification, and video object tracking with Label Studio.
Label Studio Team
September 18, 2024
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LLM Evaluations: Techniques, Challenges, and Best Practices
Explore the topic of evaluation for LLMs, its importance, and how we should approach it. Learn how integrating systematic evaluations can help teams iteratively refine their models to meet real-world needs.
Jimmy Whitaker
August 29, 2024
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How to Build and Evaluate RAG Applications with Label Studio, OpenAI & Ragas
In this tutorial, we'll guide you through the process of setting up and using Label Studio in combination with Ragas (Retrieval-Augmented Generation Answer Scoring) and GPT-4 to build an optimized QA application.
Jo Booth
August 22, 2024
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Key Considerations For Evaluating RAG-Based Systems
Implementing RAG-based systems comes with challenges to be aware of, particularly in assessing the quality of generated responses. This article will walk you through some of those challenges.
Jo Booth
August 20, 2024
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New LLM Evaluation Templates For Label Studio
Evaluate the output of LLMs and RAG pipelines with Label Studio using five new templates designed for human supervision of AI models.
Micaela Kaplan
July 31, 2024
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Accelerate Image and Video Labeling with Segment Anything 2
Connect Segment Anything 2 (SAM2) with Label Studio to accelerate image and video data labeling.
Label Studio Team
July 31, 2024
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Label Studio 1.13: Refreshed Interface and New GenAI Evaluation Templates
We’re excited to announce the 1.13 release of Label Studio! This update includes a refreshed UI and some new Generative AI templates for you to use.
Micaela Kaplan
July 31, 2024
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3 Ways To Automate Your Labeling With Label Studio
Delve into three effective methods to automate your labeling using Label Studio, including examples and resources.
Nate Kartchner
July 18, 2024
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Fine-Tuning Llama 3: Enhancing Accuracy in Medical Q&A With LLMs
In this article, we want to demonstrate a method of curating large datasets to reduce but not remove the cost for curating a high quality medical Q&A dataset in Label Studio and fine-tuning Llama 3 on this data.
Jimmy Whitaker
June 11, 2024
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Improving RAG Document Search Quality with Cohere Re-ranking
This article is part of a longer series that will teach you how to develop and optimize a question answering (QA) system using Retrieval-Augmented Generation (RAG) architecture. In this tutorial, we are going to show you how to create a generator that builds responses based on those documents.
Max Tkachenko
June 6, 2024
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New Release: Major Update To Our SDK
A new version the Label Studio SDK is now available with more functions, new docs, and a greatly improved developer experience.
Label Studio Team
June 6, 2024
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LLM Evaluation: Comparing Four Methods to Automatically Detect Errors
An ongoing challenge for Large Language Models (LLMs) is their tendency to hallucinate. In this article, we explore four methods to automatically detect these errors.
Nikolai Liubimov
May 30, 2024
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Get the latest news on our upcoming event about AI Evaluation, new Discourse forums for community support, and tutorials including importing YOLO images and fine-tuning generalist models for NER.
Label Studio Team
May 30, 2024
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Optimizing RAG Pipelines with Label Studio
In this introduction to our tutorial series on optimizing RAG pipelines, we'll introduce an example question answering (QA) system leveraging a Retrieval-Augmented Generation (RAG) architecture and outline three methods for optimizing your RAG pipeline utilizing Label Studio.
Max Tkachenko
May 23, 2024
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Do I Need to Build a Ground Truth Dataset?
The short answer is: it depends. Read on as we explore this topic further, uncovering the advantages and drawbacks of each approach to help you make an informed decision.
Label Studio Team
May 21, 2024
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Tutorial: Importing Local YOLO Pre-Annotated Images to Label Studio
Today, we're diving into Label Studio Format Converter, a handy tool that helps you encode labels into formats compatible with your favorite machine learning libraries, enhancing workflow efficiency.
Label Studio Team
May 15, 2024
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Fine-Tuning Generalist Models for Named Entity Recognition
Generalist models, like GLiNER, provide an excellent starting point for the tasks that they aim to solve. Fine-tuning these models offers us a way to improve their performance in the areas that we care about to solve business problems.
Micaela Kaplan
May 8, 2024
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It's been another exciting month for the Label Studio Community. Read on to see what's been happening!
Label Studio Team
April 30, 2024
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We Need a Better Set of LLM Evaluations
Different models are naturally going to excel at different tasks (just like humans). For users — especially those building products — having visibility into those tradeoffs is going to be a critical part of the decision-making process.
Label Studio Team
April 29, 2024
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Strategies for Evaluating LLMs
Sure, benchmarks are cool, but they don’t give you the feel or the intuition of how a model actually works. To get that, you’ve got to hack around with the model and throw real-world prompts at it — like you’d do in day-to-day tasks.
Label Studio Team
April 23, 2024
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Generate predictions & evaluate models using AI workflows—Label Studio 1.12.0 Release
Harness GenAI and popular ML models for pre-labeling, interactive labeling, and model evaluation. Advancements to the ML backend and a new examples library makes it easy to create powerful automations for Label Studio workflows.
Nikolai Liubimov
April 17, 2024
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A Step-by-Step Guide to Preparing Data for Labeling
In the world of machine learning, data labeling plays a central role in training accurate and reliable models, and properly preparing your data for labeling sets the foundation for the success of your machine learning projects.
Label Studio Team
March 6, 2024
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Interactive Data Labeling with LLMs and Label Studio’s Prompt Interface
Learn how to build a prompt-centric workflow in Label Studio, which combines real-time prompt engineering with data labeling. The goal of this prompter is to make working with data and LLMs seamless and dynamic.
Jimmy Whitaker
February 28, 2024
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It's been another exciting month for the Label Studio Community. Read on to see what's been happening!
Label Studio Team
February 28, 2024
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Announcing the latest Label Studio Release, 1.11.0!
Label Studio Team
January 30, 2024
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Enhancing OSS Collaboration: Benefits the Label Studio Monorepo
With the latest Label Studio release, the Label Studio team is transitioning platform development from a multi-repository system to a monorepo structure.
Julio Sgarbi
January 30, 2024
Brandon Martel
January 30, 2024
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Interactive OCR with Tesseract and Label Studio
Interactively Label Image-to-Text Datasets with Label Studio and Tesseract OCR.
Chris Hoge
January 29, 2024
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5 Tips and Tricks for Label Studio’s API and SDK
These five tips for using Label Studio's API and SDK demonstrate these tools' powerful capabilities and flexibility for managing data labeling projects. From efficient project creation and task imports to advanced configurations and bulk data exports, Label Studio provides a comprehensive and streamlined approach suitable for beginners and advanced users.
Jimmy Whitaker
January 23, 2024
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An Introduction to Retrieval-Augmented Generation (RAG)
Get a brief overview of RAG and how it relates to LLMs, learn when you might consider using RAG, and get a summary of some challenges based on current research you should be aware of should you choose to travel down this path.
Nate Kartchner
January 11, 2024
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Introducing Label Studio 1.10.1!
Label Studio 1.10.1 is here, including several image labeling and security improvements.
Label Studio Team
January 4, 2024
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Grounding Dino, Math Reasoning with Adala, and a recap of 2023!
Label Studio Team
December 23, 2023
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Using Text Prompts for Image Annotation with Grounding DINO and Label Studio
Pair Grounding Dino or Grounding SAM models with Label Studio to automatically perform object identification and image segmentation tasks using text labels.
Chris Hoge
December 21, 2023
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Mastering Math Reasoning with Adala
This example offers a glimpse into the practical utility and impact of Adala in data-guided automation and prompt tuning against a math-solving benchmark.
Jimmy Whitaker
December 21, 2023
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Temporary Community Slack Outage
Messaging on the Label Studio Community Slack is currently unavailable. We are working to resolve the issue.
Label Studio Team
December 7, 2023
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Large Taxonomies in Label Studio 1.10.0 — November 2023 Community Newsletter
Label Studio 1.10.0 is here, featuring support for Large-Scale External Taxonomies (beta) and an update to the Ranker interface for fine-tuning LLMs!
Label Studio Team
November 30, 2023
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Label Studio x Segment Anything in Hugging Face Spaces
Learn how to build an image annotation workflow using Label Studio and Segment Anything in Hugging Face Spaces!
Chris Hoge
November 21, 2023
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Adala 0.0.3 Release: More ways to capture feedback, parallel skills execution, and more!
The latest release of Adala, an agent framework to automate data processing tasks, including data labeling and data generation, features more ways to capture feedback and parallel skills execution contributed by a community member.
Nikolai Liubimov
November 16, 2023
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Labeling Your Computer Vision Data for Your Next Artificial Intelligence Project
With the rise of deep learning and machine learning techniques, computer vision has become essential in various applications. But how do you get that data into your AI model effectively?
Label Studio Team
November 7, 2023
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Our Vision for the Future of Reliable Labeling Agents
Introducing a new open source agent framework that can dramatically increase the efficiency of data labeling (and broader application across data processing tasks), with the unique ability to be guided by human signal: Adala.
Michael Malyuk
October 25, 2023
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Building Agents for Data Labeling
Exploring how LLMs and agents can be leveraged to transform the annotation workflow, aiming for greater data labeling efficiency, accuracy, and scalability.
Jimmy Whitaker
October 18, 2023
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Label Studio 1.9.1 Features Enhancements for Image & Video Annotation
The Label Studio community is excited to announce the 1.9.1 release of Label Studio.
Label Studio Team
October 11, 2023
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The Future of Data Labeling: Embracing Agents
With their dynamic capabilities, agents can potentially adapt to the nuances of different datasets and environments, ensuring that the labeling process remains efficient regardless of the data's nature.
Jimmy Whitaker
October 4, 2023
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September 2023 Community News!
It's been another exciting month for the Label Studio Community. Read on to see what's been happening!
Label Studio Team
September 28, 2023
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Introducing Label Studio 1.9.0
We’re excited to announce the latest version of Label Studio, which includes labeling configuration autocomplete.
Label Studio Team
September 28, 2023
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Five Open Dataset Resources For Fine-Tuning and Training AI Models
Dive into the top 5 open dataset resources that could be the key to your next project's success
Label Studio Team
September 26, 2023
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Fine-Tuning an LLM to Create a ChatBot with Enterprise-Specific Data
Our Data Scientist in Residence, Jimmy Whitaker, recently outlined how to fine-tune foundation models for AI applications. In case you missed it, here's a quick summary of the workshop.
Label Studio Team
September 21, 2023
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Recap: Accelerate Your Image Annotation Workflow with Label Studio and Segment Anything
We recently held a workshop demonstrating the powerful integration between the Segment Anything Model (SAM) and Label Studio. If you missed it, you can get the recap right here.
Label Studio Team
September 12, 2023
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It's been another exciting month for the Label Studio Community. Read on to see what's been happening!
Label Studio Team
August 31, 2023
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Introducing Label Studio 1.8.2
We're excited to announce the launch of our latest version of Label Studio, which features contextual scrolling!
Label Studio Team
August 29, 2023
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Getting Started Using Segment Anything with Label Studio
Learn how to connect the object selection power of Segment Anything to the annotation power of Label Studio.
Chris Hoge
August 24, 2023
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Intro to Hugging Face: A Valuable Directory of AI Models and Tools
Hugging Face is a highly esteemed platform widely recognized as one of the most valuable resources for discovering and utilizing Language Model (LLM) technology.
Label Studio Team
August 22, 2023
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From Foundation Models to Fine-Tuned Applications Using Label Studio
We explore how Label Studio can be employed to build a Question-Answering bot trained on domain-specific knowledge.
Jimmy Whitaker
August 14, 2023
Nikolai Liubimov
August 14, 2023
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Learning the Lingo of LLM Fine-Tuning
Learn the lingo around fine-tuning LLMs. We've compiled a comprehensive glossary of terms that you should know when embarking on your LLM tuning journey.
Label Studio Team
August 3, 2023
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How to use our Generative AI Templates
With the latest 1.8 release — we launched the all-new Generative AI template library — a set of templates designed for you to work with foundation models and adapt them to your needs, right within Label Studio. Get started with fine-tuning models such as Llama 2, GPT-4, Whisper, Alpaca, and PaLM 2 among others.
Erin Mikail Staples
July 31, 2023
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Data Labeling and Comparative Analysis of Fine-Tuning Methods
Out of the box, LLMs can handle general tasks fairly easily. But what fine-tuning methodology should you use when you need to complete tasks that require more specialized knowledge than what LLMs typically have?
Label Studio Team
July 26, 2023
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It's been another exciting month for the Label Studio Community. Read on to see what's been happening!
Label Studio Team
July 25, 2023
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Kickstart your Label Studio Annotation Project on Hugging Face Spaces
With just a few quick configuration changes, you can launch a compact Label Studio production environment for your annotation and labeling projects, all within Hugging Face.
Chris Hoge
July 24, 2023
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Turbo Boost Your Data Labeling Solution and Accelerate your LLM Tuning
Machine learning models are the race cars of artificial intelligence, designed to deliver fast and accurate results. But just like a race car, they need the right fuel - in this case, high-quality data that has been appropriately prepared.
Label Studio Team
July 18, 2023
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Fine-tuning plays a pivotal role in harnessing LLMs for specific tasks. By exploring the process of fine-tuning and understanding its importance in LLMs, you will gain the knowledge and practical skills needed to optimize LLMs.
Label Studio Team
July 13, 2023
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Data Labeling with GPT-4 in Label Studio: ML Backend Integration
Learn how to automate labeling tasks using GPT-4 with the Label Studio Machine Learning backend.
Jimmy Whitaker
July 12, 2023
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Make Your Labeling Team More Efficient With Label Studio
Learn some advanced techniques to get the most out of Label Studio and drive more efficiencies into your labeling process.
Nate Kartchner
July 11, 2023
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Five Large Language Models You Can Fine-Tune Today
Hundreds of thousands of open source LLMs are available, and choosing one is not easy. However, there are a small number of highly capable models that we think are excellent choices today.
Nate Kartchner
July 6, 2023
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It's been another exciting month for the Label Studio Community. Read on to see what's been happening!
Label Studio Team
June 29, 2023
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Understanding the Label Studio JSON format
Ever wonder how our JSON format is generated or how to structure your JSON files to import data, pre-annotate your datasets, or work with the ML backend? Wait no further! We've got you covered with this blog post.
Erin Mikail Staples
June 28, 2023
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HumanSignal is about the signal that humans provide to models, helping them to adapt, learn, and align with the needs of organizations and society at large.
Max Tkachenko
June 20, 2023
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Introducing Label Studio 1.8.0 — Optimized for fine-tuning LLMs and Foundation Models
We're excited to announce the latest version of Label Studio, specifically designed to help create datasets for fine-tuning Large Language Models (LLM) like ChatGPT or LLaMA.
Michael Malyuk
June 6, 2023
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Using the Segment Anything Model Integration
Segment Anything is a popular model you can use to accelerate computer vision & image labeling. Learn how to use the Segment Anything integration with Label Studio.
Erin Mikail Staples
May 25, 2023
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May 2023 Community News: Machine learning in Label Studio, free RLHF workshop, and more!
It's been another exciting month for the Label Studio Community. Read on to see what's been happening!
Label Studio Team
May 25, 2023
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Introduction to Machine Learning with Label Studio
Learn the background knowledge and steps required to integrate Machine Learning models into your Label Studio workflow.
Chris Hoge
May 24, 2023
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Integration Spotlight: OpenMMLab & Label Studio
How to use OpenMMLab with Label Studio's machine learning API to provide semi-automated bounded-box labeling using the mmdetection library.
Erin Mikail Staples
May 24, 2023
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Launching the Label Studio Community Support Archives
Visit discuss.labelstud.io to see solutions to frequently asked questions, tips and tricks, and helpful discussions across the Label Studio Community. These have all been logged with the help of a new Archivist Bot, which will help log popular threads from within the existing community Slack.
Erin Mikail Staples
May 15, 2023
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Create a High-Quality Dataset for Reinforcement Learning from Human Feedback
RLHF has enabled language models trained on a general corpus of text data to be aligned with complex human values. This article details how you can train a reward model for RLHF on your own data.
Jimmy Whitaker
May 11, 2023
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Human Feedback in AI: The Essential Ingredient for Success
In this article we explore the profound impact of human feedback on AI and examine how powerful tools like Label Studio are catalyzing a paradigm shift in AI training methodologies.
Jimmy Whitaker
May 9, 2023
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To help you get started with data labeling, we've created this guide that outlines the best practices to ensure you label your data accurately.
Label Studio Team
May 4, 2023
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Introducing Label Studio 1.7.3
We are excited to announce the release of Label Studio 1.7.3, which brings a host of new features and improvements to our open-source data labeling tool.
Label Studio Team
April 27, 2023
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April 2023 Community News: Label Studio 1.7.3 released, Three Keys to Data Quality, and more!
It's been another exciting month for the Label Studio Community. Read on to see what's been happening!
Label Studio Team
April 27, 2023
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Integrity, Accuracy, Consistency: 3 Keys to Maintaining Data Quality in Machine Learning
How do you identify and maintain high-quality data when you’re knee-deep in a project? And what does “data quality” mean in the context of machine learning? Read more to find out!
Nikolai Liubimov
April 20, 2023
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AMA Recap: Heartex CEO Michael Malyuk Chats with BentoML’s Community About MLOps and Data Labeling
Heartex co-founder and CEO Michael Malyuk recently did an AMA over at BentoML’s Slack community to talk through a variety of questions around data labeling, MLOps, and workflows that combine the two.
Label Studio Team
April 13, 2023
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Getting started with Object Detection
In this article, we’ll explore what object detection is, the challenges involved in implementing it, and share a step-by-step breakdown of getting started with this exciting technique.
Label Studio Team
April 6, 2023
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Community Feature: Fixing Your Data Quality 10x Faster with Galileo and Label Studio
Vikram Chatterji, co-founder of ML data intelligence company Galileo just published a framework for massively increasing the velocity of your ML workflow using a tight integration between Label Studio and Galileo.
Label Studio Team
March 30, 2023
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March 2023 Community News: New Integrations Directory, Label Studio in Hugging Face Spaces and more!
It’s been a big month for the Label Studio community, full of releases and collaborations with the open source ML community. Here’s a quick recap of the flurry of announcements from this past month, including one that includes some magic that could have a big impact on your annotation workflow!
Label Studio Team
March 29, 2023
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Join the Label Studio Community Team for our Community Town Hall Series on April 13th at 12PM ET. We’ll be sharing what’s happening in and around the community including future plans, our latest release, and more!
Erin Mikail Staples
March 29, 2023
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What will the Long-Lasting Impacts of Large Generative Models Be?
Evaluating GPT-4’s release through the lens of open source data science leads us to see the possibility and potential for long-term impact — but it also reiterates the underlying importance of dataset development and context provided by human feedback through processes such as reinforcement learning through human feedback (RLHF) or human-in-the-loop processes.
Erin Mikail Staples
March 21, 2023
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Label Studio 1.7.2 Release - Magic Wand Tool, Multichannel Audio and Long-Duration Audio Support
Label Studio 1.7.2 introduces a new Magic Wand tool for image annotation and significant updates to our audio labeling functionality.
Label Studio Team
March 20, 2023
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Introducing the Label Studio Integrations Directory
Check out the new Label Studio Integrations Directory to explore a growing number of integrations and resources, including documentation and links.
Label Studio Team
March 7, 2023
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Introduction to Data Labeling in Hugging Face Spaces using Label Studio
This tutorial is designed to get you started with data annotation using Label Studio inside of Hugging Face Spaces.
Erin Mikail Staples
March 7, 2023
Chris Hoge
March 7, 2023
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Get Started With Label Studio Integrations
A complete guide on how to build integrations for Label Studio, including database, storage, machine learning, web front end, and platform integrations.
Label Studio Team
March 7, 2023
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Contribute to the New Label Studio Community Docs
The Label Studio docs have a new look; with cleaner information architecture, and more ways to contribute.
Chris Hoge
March 7, 2023
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Combining the Power of Good Data with Pachyderm’s Versioning Tools
The Pachyderm integration with Label Studio makes incorporating data versioning into any data team’s labeling process easier.
Jimmy Whitaker
March 6, 2023
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How to Integrate Pachyderm with Label Studio
Read step-by-step instructions to integrate Label Studio and Pachyderm, including code examples.
Jimmy Whitaker
March 6, 2023
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February 2023 Community News: New audio labeling tutorial, Academic Program, and PyCon!
Audio labeling tutorial, new academic program, plans for PyCon & PyData Berlin in April, and more!
Label Studio Team
February 28, 2023
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Labeling Audio Data With Label Studio
In this guide, you'll learn how to set up an audio labeling project in Label Studio. Then we'll walk you through importing and labeling your data. You'll also see the many different features in Label Studio's audio labeling interface.
Erin Mikail Staples
February 14, 2023
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Improving on RLHF with Language Feedback
Learn more about recent advances in RLHF, one of the essential training methods for building large generative models like ChatGPT.
Chris Hoge
February 7, 2023
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Zero to One: Getting Started with Label Studio
Brand new to Label Studio? We’ve created a jam-packed new tutorial with the most important information to get you up and running.
Erin Mikail Staples
January 30, 2023
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Lots happening in the Label Studio community this month, check out these great resources and opportunities.
Label Studio Team
January 30, 2023
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Contribute Content to the Label Studio Community
Do you want to share your knowledge with the community? We’d love for you to contribute content!
Label Studio Team
January 26, 2023
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Community Feature: How TotalEnergies Uses Label Studio for Anomaly Detection
How TotalEnergies gave their oil rig engineers a cutting-edge tool for predicting and preventing critical equipment failures.
Label Studio Team
January 25, 2023
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Label Studio 1.7 is Here With Improved Audio Labeling!
The latest version of Label Studio is here. Significant features include performance improvements to its audio labeling engine and new support for production-ready deployment methods using Terraform scripts or Helm charts.
Label Studio Team
December 15, 2022
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Survey Report: How Data-Centric AI is Shaping Technology and Workflow Choices
The 2022 Label Studio Community Survey shows how data teams are increasing investment in data preparation and management to achieve better ML/AI outcomes.
Label Studio Team
December 8, 2022
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Machine Learning Bias: What Is It, Why Is It Important, and What Can You Do About It?
A machine learning model can send unintended, dangerous conversational responses. Train your models to avoid these outcomes by learning what machine learning bias is and how to minimize it.
Label Studio Team
November 30, 2022
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Implementing Audio Classification for Machine Learning Projects Using Label Studio
With this guide, learn how audio classification works and how to implement it when building audio ML projects, so you can optimize your ML models and build a better overall product.
Label Studio Team
November 23, 2022
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Understanding Audio Classification: Everything You Need to Know
This article takes a look at audio classification and discusses the various use cases that can benefit from this technique.
Label Studio Team
November 16, 2022
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How To Choose an Open-source Audio Classification Tool and 6 Options To Use
When choosing an annotation tool for your audio classification project, you need to carefully study its unique features and ensure that it works well with the rest of your stack. Finding the right tool will give you the best value in your audio classification projects.
Label Studio Team
November 9, 2022
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Getting Started with Image Classification
In this guide, we dig into image classification—what it means, how it works, and the main steps to help you get started.
Label Studio Team
November 2, 2022
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The Building Blocks of an Efficient Data Labeling Process
Instituting an efficient data labeling process is the key to eliminating inaccuracies in the data fed to machine learning models. Here are some generally applicable principles that can improve the efficiency and accuracy of your data labeling process.
Label Studio Team
October 26, 2022
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Open Source Tools for Sentiment Analysis
Some developers and data scientists just want to grab code, download a repo and go. If that’s your style, choosing a fully-featured open source sentiment tool might be right choice for you.
Label Studio Team
October 13, 2022
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Take the Label Studio user survey
The Label Studio user community survey is now live! Your feedback is critical to improving the product and helping bring new users into the community.
Label Studio Team
September 29, 2022
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Label Studio 1.6 - Video Object Tracking and New Annotation UI
Label Studio 1.6 introduces a new video player that allows for frame-by-frame video object tracking, plus a major update to the annotation UI for improved ergonomics and efficiency.
Label Studio Team
September 27, 2022
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6 Costly Data Labeling Mistakes and How To Avoid Them
Learn six of the most common data labeling mistakes we see in ML projects and the fixes that can help you maintain consistent, accurate training data.
Label Studio Team
September 9, 2022
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Celebrating 10,000 GitHub Stars with the Top 10 Label Studio Features
From time series to active learning to the Python SDK, check out the top 10 features on the path to 10,000 GitHub stars and growing!
Label Studio Team
August 17, 2022
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Understanding Sentiment Analysis
This blog covers the basics of sentiment analysis: key components, use cases, challenges, and solutions.
Label Studio Team
July 18, 2022
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Getting Started with Sentiment Analysis
Sentiment analysis provides consistent, data-driven insights for businesses looking to better understand their users and products. Here’s how to get started.
Label Studio Team
July 11, 2022
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Announcing the Label Studio 1.5.0 Features and Release Notes
Release notes and information about Label Studio version 1.5.0.
Label Studio Team
June 16, 2022
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What's with the Label Studio Opossums?
See what data labeling can learn from opossums and what Heidi means to Label Studio.
Label Studio Team
April 1, 2022
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Announcing the Label Studio SDK with Label Studio 1.4.0
Release notes and information about Label Studio version 1.4.0, announcing the Label Studio SDK to work with the open source data labeling tool Label Studio, or the enterprise version Label Studio Enterprise.
Label Studio Team
November 22, 2021
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Introducing Label Studio Champions!
Introducing the community reward program for the Label Studio open source data labeling tool!
Label Studio Team
October 27, 2021
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Data Labeling: The Unsung Hero Combating Data Drift
Learn how various types of data drift and how data drift impacts model performance, along with several examples of how data labeling can tackle data drift.
Label Studio Team
October 21, 2021
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Perform Interactive ML-Assisted Labeling with Label Studio 1.3.0
Release notes and information about Label Studio version 1.3.0, featuring ML-assisted labeling.
Label Studio Team
September 16, 2021
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From raw data to a trained model: Automate your ML pipeline with Label Studio & Amazon SageMaker
Use webhooks from open source data labeling software Label Studio to seamlessly integrate your Amazon SageMaker model development workflow for your machine learning and data science projects using AWS Lambda, Amazon S3, and public domain bird images.
Label Studio Team
August 26, 2021
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Quickly Create Datasets for Training YOLO Object Detection with Label Studio
Use open source data labeling software Label Studio to quickly create YOLO v3 and v4 compatible datasets for training purposes and image labels for image object detection data science and machine learning projects.
Label Studio Team
August 23, 2021
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Announcing Label Studio version 1.2.0 with Webhooks!
Release notes and information about Label Studio version 1.2.0, featuring event webhook functionality for annotations and tasks.
Label Studio Team
August 17, 2021
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Improve OCR quality for receipt processing with Tesseract and Label Studio
Use open source data labeling software Label Studio to improve optical character recognition (OCR) results for receipts, invoices, menus, signs, and other important images processed with Tesseract and Python.
Label Studio Team
July 13, 2021
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Label Studio v1.1 is now available!
Release notes and information about Label Studio version 1.1.0, with improved data labeling functionality for image annotations and object character recognition (OCR) labeling for machine learning projects.
Label Studio Team
June 30, 2021
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10 important considerations for NLP labeling
The top 10 important considerations for NLP labeling and functionality in labeling tools for natural language processing machine learning projects.
Label Studio Team
June 17, 2021
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Improve Amazon Transcribe Audio Transcriptions with Label Studio
Use open source data labeling software Label Studio to improve audio transcriptions of customer support calls, video conference meetings, and other audio recordings.
Label Studio Team
May 10, 2021
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Evaluating Named Entity Recognition parsers with spaCy and Label Studio
Use Label Studio to evaluate named entity recognition parsers like spaCy and revise predictions by annotating a gold standard dataset for your data science and machine learning projects.
Label Studio Team
May 3, 2021
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Label Studio Release 1.0.0 rewrites Label Studio to support multiple users, projects, and scalable data labeling and annotation for machine learning and data science projects.
Label Studio Team
March 15, 2021
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Label Studio Release Notes 0.9.0
Label Studio Release 0.9.0 includes improvements to data management to help you explore and improve your datasets for machine learning projects.
Label Studio Team
January 21, 2021
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Label Studio Release Notes 0.8.0 - Time Series Data Labeling
Label Studio Release 0.8.0 includes updates to support data labeling for time series data.
Label Studio Team
October 26, 2020
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Label Studio Release Notes 0.7.0 - Cloud Storage Enablement
Label Studio Release 0.7.0 includes new connectors to integrate Label Studio with cloud storage, including Amazon AWS S3 and Google Cloud Storage.
Label Studio Team
May 29, 2020
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Label Studio Release Notes 0.6.0 - Nested Data Labeling
Label Studio Release 0.6.0 includes nested data labeling, per-region labeling, updates to machine learning backend integration, filtering, and more.
Label Studio Team
May 8, 2020
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Label Studio Release Notes 0.5.0
Label Studio Release 0.5.0 includes image segmentation, relations labeling, named entity recognition performance, image ellipses labeling, and more.
Label Studio Team
March 9, 2020
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How to fine-tune BERT to classify your Slack chats without coding
Nikolai Liubimov
February 18, 2020