If anyone is working with #labelstudio like me with ML backend and local files - dont forget to "Add the *. docker.internal names to the host's /etc/hosts file" in #docker desktop

If somebody is using Label Studio here with text labeling - cross-annotation - is there some way to compare and manually merge annotations from multiple authors besides doing it fully manually?

#LabelStudio

Training Object Detector AI with Label Studio & MMDetection

Streamlined workflow for training your own object detector AI with Label Studio and MMDetection framework

Rost Glukhov | Personal site and blog

@PanierAvide a publié en Français un tuto pour détecter des objets avec Label Studio et des photos publiées sur Panoramax, le tout en quelques scripts python:
https://github.com/panoramax-project/DetectionTutorial/blob/main/README_fr.md
c'est fort intéressant!

Le résultat concernant les panneaux routiers sous forme de csv pour toute la france est disponible sur datagouv:
Export de test de panneaux détecté dans les photos de Panoramax - data.gouv.fr

#yolo #labelstudio #ml #panoramax #openstreetmap #geocommuns

DetectionTutorial/README_fr.md at main · panoramax-project/DetectionTutorial

Detecting features on pictures using YOLO, Panoramax & OpenStreetMap - panoramax-project/DetectionTutorial

GitHub

NEWS FROM THE DAY JOB:

I just wrote a blog post on how to use and make the most of #LabelStudio's #GenerativeAI templates

If you're fine-tuning an LLM or curious on what's the right LLM for you — give it a read and check it out;

https://labelstud.io/blog/how-to-use-our-generative-ai-templates/

How to use the New Generative AI Templates in Label Studio | Label Studio

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.

Label Studio

Who are the coolest humans I know streaming or building cool collaborative demos in #OpenSource #MachineLearning #DataScience or #GenerativeAI

Asking for me - trying to make goals for Q3 and coming up with ideas on who to collaborate with for my day job at #LabelStudio

Boosts appreciated! TY in advance.

IMPORTANT ANNOUNCEMENTS FROM MY DAY JOB!

#LabelStudio 1.8.0 is now LIVE! 🚀

Optimized for fine-tuning datasets for LLMs and Foundational Models.✨

Check it out on the blog:

https://labelstud.io/blog/introducing-label-studio-1-8-0/

#LLM #GenerativeAI #DataScience #DataLabeling

Introducing Label Studio 1.8.0 — Optimized for fine-tuning LLMs and Foundation Models | Label Studio

A flexible data labeling tool for all data types. Prepare training data for computer vision, natural language processing, speech, voice, and video models.

Label Studio

行動認識技術がどんどん進化!🌟 さまざまな分野で活用できる、LabelStudioとPythonを使った動画トラッキングアノテーションの可視化プログラムについて説明しています!👀 詳細はこちら:

https://hamaruki.xmagix.com/video-tracking-annotation-visualization-program/

#動画トラッキングアノテーション #Python #LabelStudio
#今日の積み上げ #ブロガーさんと繋がりたい #ブログ仲間と繋がりたい #セキュリティ

Python初心者でも分かる!行動認識のためのLabelStudioを使った動画トラッキングアノテーションの可視化プログラム - Sunwood AI Labs.

PythonとLabelStudioの概要 Pythonの基本 Pythonは、プログラミング言語の一種で、初

Sunwood AI Labs. - はまる木

I'm working on a machine learning tutorial right now at #Heartex — and holding myself accountable to learning in public and improving my #LiveCoding skills.

Come join me on YouTube or Twitch at 1:30 PM today as I build a #ML tutorial using @ProjectJupyter , #PyTorch , #Docker, #Warp, and #LabelStudio of course!

1:30 PM ET, 3 May 2023 ➡️ https://www.youtube.com/watch?v=muzNv2Tnv90

Working with Machine Learning Models

YouTube

Some news from my day job this week!

the #LabelStudio April Community Newsletter is LIVE!

featuring:
- 🆕 releases
- 📝 blog post on the importance of data ethics
- highlights from the community team (that's @hogepodge + I!)

read all about it ➡️ https://labelstud.io/blog/april-2023-community-news/

#DataLabeling #OpenSource #MachineLearning

April 2023 Community News: Label Studio 1.7.3 released, Three Keys to Data Quality, and more! | Label Studio

A flexible data labeling tool for all data types. Prepare training data for computer vision, natural language processing, speech, voice, and video models.

Label Studio