---
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cards:
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- categories:
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- TimeSeries
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- Segmentation
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hide_frontmatter_title: true
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hide_menu: true
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image: /guide/ml_tutorials/timeseries.png
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meta_description: Tutorial demonstrating a minimal ML backend that performs time series segmentation in Label Studio.
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meta_title: Time Series Segmenter for Label Studio
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order: 35
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tier: all
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title: Time Series Segmenter for Label Studio
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type: guide
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url: /guide/ml_tutorials/timeseries_segmenter.html
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- categories:
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- Natural Language Processing
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- Text Classification
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- BERT
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- Hugging Face
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hide_frontmatter_title: true
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hide_menu: true
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image: /guide/ml_tutorials/bert.png
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meta_description: Tutorial on how to use BERT-based text classification with your
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Label Studio project
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meta_title: BERT-based text classification
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order: 35
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tier: all
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title: Classify text with a BERT model
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type: guide
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url: /guide/ml_tutorials/bert_classifier.html
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- categories:
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- Computer Vision
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- Optical Character Recognition
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- EasyOCR
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hide_frontmatter_title: true
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hide_menu: true
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image: /guide/ml_tutorials/easyocr.png
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meta_description: The EasyOCR model connection integrates the capabilities of EasyOCR
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with Label Studio to assist in machine learning labeling tasks involving Optical
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Character Recognition (OCR).
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meta_title: EasyOCR model connection for transcribing text in images
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order: 40
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tier: all
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title: Transcribe text from images with EasyOCR
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type: guide
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url: /guide/ml_tutorials/easyocr.html
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- categories:
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- Natural Language Processing
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- Named Entity Recognition
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- Flair
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hide_frontmatter_title: true
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hide_menu: true
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image: /guide/ml_tutorials/flair.png
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meta_description: Tutorial on how to use Label Studio and Flair for faster NER labeling
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meta_title: Use Flair with Label Studio
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order: 75
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tier: all
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title: NER labeling with Flair
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type: guide
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url: /guide/ml_tutorials/flair.html
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- categories:
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- Natural Language Processing
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- Named Entity Recognition
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- GLiNER
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- BERT
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- Hugging Face
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hide_frontmatter_title: true
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hide_menu: true
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image: /guide/ml_tutorials/gliner.png
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meta_description: Tutorial on how to use GLiNER with your Label Studio project to
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complete NER tasks
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meta_title: Use GLiNER for NER annotation
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order: 37
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tier: all
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title: Use GLiNER for NER annotation
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type: guide
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url: /guide/ml_tutorials/gliner.html
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- categories:
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- Computer Vision
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- Image Annotation
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- Object Detection
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- Grounding DINO
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hide_frontmatter_title: true
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hide_menu: true
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image: /guide/ml_tutorials/grounding-dino.png
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meta_description: Label Studio tutorial for using Grounding DINO for zero-shot object
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detection in images
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meta_title: Image segmentation in Label Studio using a Grounding DINO backend
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order: 15
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tier: all
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title: Zero-shot object detection and image segmentation with Grounding DINO
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type: guide
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url: /guide/ml_tutorials/grounding_dino.html
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- categories:
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- Computer Vision
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- Image Annotation
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- Object Detection
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- Zero-shot Image Segmentation
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- Grounding DINO
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- Segment Anything Model
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hide_frontmatter_title: true
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hide_menu: true
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image: /guide/ml_tutorials/grounding-sam.png
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meta_description: Label Studio tutorial for using Grounding DINO and SAM for zero-shot
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object detection in images
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meta_title: Image segmentation in Label Studio using a Grounding DINO backend and
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SAM
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order: 15
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tier: all
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title: Zero-shot object detection and image segmentation with Grounding DINO and
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SAM
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type: guide
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url: /guide/ml_tutorials/grounding_sam.html
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- categories:
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- Generative AI
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- Large Language Model
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- Text Generation
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- Hugging Face
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hide_frontmatter_title: true
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hide_menu: true
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image: /guide/ml_tutorials/hf-llm.png
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meta_description: This tutorial explains how to run Hugging Face Large Language
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model backend in Label Studio. Hugging Face Large Language Model Backend is a
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machine learning backend designed to work with Label Studio, providing a custom
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model for text generation.
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meta_title: Label Studio tutorial to run Hugging Face Large Language Model backend
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order: 20
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tier: all
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title: Hugging Face Large Language Model (LLM)
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type: guide
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url: /guide/ml_tutorials/huggingface_llm.html
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- categories:
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- Natural Language Processing
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- Named Entity Recognition
|
- Hugging Face
|
hide_frontmatter_title: true
|
hide_menu: true
|
image: /guide/ml_tutorials/hf-ner.png
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meta_description: This tutorial explains how to run a Hugging Face NER backend in
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Label Studio.
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meta_title: Label Studio tutorial to run Hugging Face NER backend
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order: 25
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tier: all
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title: Hugging Face NER
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type: guide
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url: /guide/ml_tutorials/huggingface_ner.html
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- categories:
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- Natural Language Processing
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- Named Entity Recognition
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- Interactive matching
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hide_frontmatter_title: true
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hide_menu: true
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image: /guide/ml_tutorials/interactive-substring-matching.png
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meta_description: Use the interactive substring matching model for labeling NER
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tasks in Label Studio
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meta_title: Interactive substring matching for NER tasks
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order: 30
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tier: all
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title: Interactive substring matching for NER tasks
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type: guide
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url: /guide/ml_tutorials/interactive_substring_matching.html
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- categories:
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- Generative AI
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- Retrieval Augmented Generation
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- Google
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- OpenAI
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- Langchain
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hide_frontmatter_title: true
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hide_menu: true
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image: /guide/ml_tutorials/langchain.png
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meta_description: Use Langchain, OpenAI, and Google to generate responses based
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on Google search results.
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meta_title: RAG with a Langchain search agent
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order: 45
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tier: all
|
title: RAG with a Langchain search agent
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type: guide
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url: /guide/ml_tutorials/langchain_search_agent.html
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- categories:
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- Generative AI
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- Large Language Model
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- OpenAI
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- Azure
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- Ollama
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- ChatGPT
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hide_frontmatter_title: true
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hide_menu: true
|
image: /guide/ml_tutorials/llm-interactive.png
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meta_description: Label Studio tutorial for interactive LLM labeling with OpenAI,
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Azure, or Ollama
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meta_title: Interactive LLM labeling with OpenAI, Azure, or Ollama
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order: 5
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tier: all
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title: Interactive LLM labeling with GPT
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type: guide
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url: /guide/ml_tutorials/llm_interactive.html
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- categories:
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- Computer Vision
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- Object Detection
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- Image Annotation
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- OpenMMLab
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- MMDetection
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hide_frontmatter_title: true
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hide_menu: true
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image: /guide/ml_tutorials/openmmlab.png
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meta_description: This is a tutorial on how to use the example MMDetection model
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backend with Label Studio for image segmentation tasks.
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meta_title: Object detection in images with Label Studio and MMDetection
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order: 65
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tier: all
|
title: Object detection with bounding boxes using MMDetection
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type: guide
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url: /guide/ml_tutorials/mmdetection-3.html
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- categories:
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- Audio/Speech Processing
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- Automatic Speech Recognition
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- NeMo
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- NVidia
|
hide_frontmatter_title: true
|
hide_menu: true
|
image: /guide/ml_tutorials/nvidia.png
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meta_description: Tutorial on how to use set up Nvidia NeMo to use for ASR tasks
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in Label Studio
|
meta_title: Automatic Speech Recognition with NeMo
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order: 60
|
tier: all
|
title: Automatic Speech Recognition with NVidia NeMo
|
type: guide
|
url: /guide/ml_tutorials/nemo_asr.html
|
- categories:
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- Computer Vision
|
- Image Annotation
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- Object Detection
|
- Segment Anything Model
|
hide_frontmatter_title: true
|
hide_menu: true
|
image: /guide/ml_tutorials/sam2-images.png
|
meta_title: Using SAM2 with Label Studio for Image Annotation
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order: 15
|
tier: all
|
title: SAM2 with Images
|
type: guide
|
url: /guide/ml_tutorials/segment_anything_2_image.html
|
- categories:
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- Computer Vision
|
- Video Annotation
|
- Object Detection
|
- Segment Anything Model
|
hide_frontmatter_title: true
|
hide_menu: true
|
image: /guide/ml_tutorials/sam2-video.png
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meta_title: Using SAM2 with Label Studio for Video Annotation
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order: 15
|
tier: all
|
title: SAM2 with Videos
|
type: guide
|
url: /guide/ml_tutorials/segment_anything_2_video.html
|
- categories:
|
- Computer Vision
|
- Object Detection
|
- Image Annotation
|
- Segment Anything Model
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- Facebook
|
- ONNX
|
hide_frontmatter_title: true
|
hide_menu: true
|
image: /guide/ml_tutorials/segment-anything.png
|
meta_description: Label Studio tutorial for labeling images with MobileSAM or ONNX
|
SAM.
|
meta_title: Interactive annotation in Label Studio with Segment Anything Model (SAM)
|
order: 10
|
tier: all
|
title: Interactive annotation with Segment Anything Model
|
type: guide
|
url: /guide/ml_tutorials/segment_anything_model.html
|
- categories:
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- Natural Language Processing
|
- Text Classification
|
- Scikit-learn
|
hide_frontmatter_title: true
|
hide_menu: true
|
image: /guide/ml_tutorials/scikit-learn.png
|
meta_description: Tutorial on how to use an example ML backend for Label Studio
|
with Scikit-learn logistic regression
|
meta_title: Sklearn Text Classifier model for Label Studio
|
order: 50
|
tier: all
|
title: Sklearn Text Classifier model
|
type: guide
|
url: /guide/ml_tutorials/sklearn_text_classifier.html
|
- categories:
|
- Natural Language Processing
|
- Named Entity Recognition
|
- SpaCy
|
hide_frontmatter_title: true
|
hide_menu: true
|
image: /guide/ml_tutorials/spacy.png
|
meta_description: Tutorial on how to use Label Studio and spaCy for faster NER and
|
POS labeling
|
meta_title: Use spaCy models with Label Studio
|
order: 70
|
tier: all
|
title: spaCy models for NER
|
type: guide
|
url: /guide/ml_tutorials/spacy.html
|
- categories:
|
- Computer Vision
|
- Optical Character Recognition
|
- Tesseract
|
hide_frontmatter_title: true
|
hide_menu: true
|
image: /guide/ml_tutorials/tesseract.png
|
meta_description: Tutorial for how to use Label Studio and Tesseract to assist with
|
your OCR projects
|
meta_title: Interactive bounding boxes OCR in Label Studio with a Tesseract backend
|
order: 55
|
tier: all
|
title: Interactive bounding boxes OCR with Tesseract
|
type: guide
|
url: /guide/ml_tutorials/tesseract.html
|
- categories:
|
- Generative AI
|
- Large Language Model
|
- WatsonX
|
hide_frontmatter_title: true
|
hide_menu: true
|
image: /guide/ml_tutorials/watsonx.png
|
meta_title: Integrate WatsonX with Label Studio
|
order: 15
|
tier: all
|
title: Integrate WatsonX with Label Studio
|
type: guide
|
url: /guide/ml_tutorials/watsonx_llm.html
|
- categories:
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- Computer Vision
|
- Object Detection
|
- Image Segmentation
|
- YOLO
|
hide_frontmatter_title: true
|
hide_menu: true
|
image: /guide/ml_tutorials/yolo.png
|
meta_description: Tutorial on how to use an example ML backend for Label Studio
|
with YOLO
|
meta_title: YOLO ML Backend for Label Studio
|
order: 50
|
tier: all
|
title: YOLO ML Backend for Label Studio
|
type: guide
|
url: /guide/ml_tutorials/yolo.html
|
- categories:
|
- Computer Vision
|
- Video Classification
|
- Temporal Labeling
|
- LSTM
|
hide_frontmatter_title: true
|
hide_menu: true
|
image: /guide/ml_tutorials/yolo-video-classification.png
|
meta_description: Tutorial on how to use an example ML backend for Label Studio
|
with TimelineLabels
|
meta_title: TimelineLabels ML Backend for Label Studio
|
order: 51
|
tier: all
|
title: TimelineLabels ML Backend for Label Studio
|
type: guide
|
url: /guide/ml_tutorials/yolo_timeline_labels.html
|
layout: templates
|
meta_description: Tutorial documentation for setting up a machine learning model with
|
predictions using PyTorch, GPT2, Sci-kit learn, and other popular frameworks.
|
meta_title: Machine Learning Example Tutorials
|
order: 260
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order_enterprise: 260
|
section: Machine Learning
|
tier: all
|
title: ML Examples and Tutorials
|
type: guide
|
---
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