/
alt3rmann
/
label-studio
Обзор
Документация
Войти
/
alt3rmann
/
label-studio
Код
Запросы
0
Задачи
Вики
Пакеты
0
Релизы
0
Аналитика
Безопасность
develop
docs/source/guide/ml_tutorials.html
364 строки
11 KB
robot-ci-heartex
docs: Update label-studio-ml-backend docs (#6412)
26 сен 2024, 05:29
Не верифицирован
26 сен 2024, 05:29
4e99397
Код
Авторство
О чём код?
--- cards: - categories: - Natural Language Processing - Text Classification - BERT - Hugging Face hide_frontmatter_title: true hide_menu: true image: /tutorials/bert.png meta_description: Tutorial on how to use BERT-based text classification with your Label Studio project meta_title: BERT-based text classification order: 35 tier: all title: Classify text with a BERT model type: guide url: /tutorials/bert_classifier.html - categories: - Computer Vision - Optical Character Recognition - EasyOCR hide_frontmatter_title: true hide_menu: true image: /tutorials/easyocr.png meta_description: The EasyOCR model connection integrates the capabilities of EasyOCR with Label Studio to assist in machine learning labeling tasks involving Optical Character Recognition (OCR). meta_title: EasyOCR model connection for transcribing text in images order: 40 tier: all title: Transcribe text from images with EasyOCR type: guide url: /tutorials/easyocr.html - categories: - Natural Language Processing - Named Entity Recognition - Flair hide_frontmatter_title: true hide_menu: true image: /tutorials/flair.png meta_description: Tutorial on how to use Label Studio and Flair for faster NER labeling meta_title: Use Flair with Label Studio order: 75 tier: all title: NER labeling with Flair type: guide url: /tutorials/flair.html - categories: - Natural Language Processing - Named Entity Recognition - GLiNER - BERT - Hugging Face hide_frontmatter_title: true hide_menu: true image: /tutorials/gliner.png meta_description: Tutorial on how to use GLiNER with your Label Studio project to complete NER tasks meta_title: Use GLiNER for NER annotation order: 37 tier: all title: Use GLiNER for NER annotation type: guide url: /tutorials/gliner.html - categories: - Computer Vision - Image Annotation - Object Detection - Grounding DINO hide_frontmatter_title: true hide_menu: true image: /tutorials/grounding-dino.png meta_description: Label Studio tutorial for using Grounding DINO for zero-shot object detection in images meta_title: Image segmentation in Label Studio using a Grounding DINO backend order: 15 tier: all title: Zero-shot object detection and image segmentation with Grounding DINO type: guide url: /tutorials/grounding_dino.html - categories: - Computer Vision - Image Annotation - Object Detection - Zero-shot Image Segmentation - Grounding DINO - Segment Anything Model hide_frontmatter_title: true hide_menu: true image: /tutorials/grounding-sam.png meta_description: Label Studio tutorial for using Grounding DINO and SAM for zero-shot object detection in images meta_title: Image segmentation in Label Studio using a Grounding DINO backend and SAM order: 15 tier: all title: Zero-shot object detection and image segmentation with Grounding DINO and SAM type: guide url: /tutorials/grounding_sam.html - categories: - Generative AI - Large Language Model - Text Generation - Hugging Face hide_frontmatter_title: true hide_menu: true image: /tutorials/hf-llm.png meta_description: This tutorial explains how to run Hugging Face Large Language model backend in Label Studio. Hugging Face Large Language Model Backend is a machine learning backend designed to work with Label Studio, providing a custom model for text generation. meta_title: Label Studio tutorial to run Hugging Face Large Language Model backend order: 20 tier: all title: Hugging Face Large Language Model (LLM) type: guide url: /tutorials/huggingface_llm.html - categories: - Natural Language Processing - Named Entity Recognition - Hugging Face hide_frontmatter_title: true hide_menu: true image: /tutorials/hf-ner.png meta_description: This tutorial explains how to run a Hugging Face NER backend in Label Studio. meta_title: Label Studio tutorial to run Hugging Face NER backend order: 25 tier: all title: Hugging Face NER type: guide url: /tutorials/huggingface_ner.html - categories: - Natural Language Processing - Named Entity Recognition - Interactive matching hide_frontmatter_title: true hide_menu: true image: /tutorials/interactive-substring-matching.png meta_description: Use the interactive substring matching model for labeling NER tasks in Label Studio meta_title: Interactive substring matching for NER tasks order: 30 tier: all title: Interactive substring matching for NER tasks type: guide url: /tutorials/interactive_substring_matching.html - categories: - Generative AI - Retrieval Augmented Generation - Google - OpenAI - Langchain hide_frontmatter_title: true hide_menu: true image: /tutorials/langchain.png meta_description: Use Langchain, OpenAI, and Google to generate responses based on Google search results. meta_title: RAG with a Langchain search agent order: 45 tier: all title: RAG with a Langchain search agent type: guide url: /tutorials/langchain_search_agent.html - categories: - Generative AI - Large Language Model - OpenAI - Azure - Ollama - ChatGPT hide_frontmatter_title: true hide_menu: true image: /tutorials/llm-interactive.png meta_description: Label Studio tutorial for interactive LLM labeling with OpenAI, Azure, or Ollama meta_title: Interactive LLM labeling with OpenAI, Azure, or Ollama order: 5 tier: all title: Interactive LLM labeling with GPT type: guide url: /tutorials/llm_interactive.html - categories: - Computer Vision - Object Detection - Image Annotation - OpenMMLab - MMDetection hide_frontmatter_title: true hide_menu: true image: /tutorials/openmmlab.png meta_description: This is a tutorial on how to use the example MMDetection model backend with Label Studio for image segmentation tasks. meta_title: Object detection in images with Label Studio and MMDetection order: 65 tier: all title: Object detection with bounding boxes using MMDetection type: guide url: /tutorials/mmdetection-3.html - categories: - Audio/Speech Processing - Automatic Speech Recognition - NeMo - NVidia hide_frontmatter_title: true hide_menu: true image: /tutorials/nvidia.png meta_description: Tutorial on how to use set up Nvidia NeMo to use for ASR tasks in Label Studio meta_title: Automatic Speech Recognition with NeMo order: 60 tier: all title: Automatic Speech Recognition with NVidia NeMo type: guide url: /tutorials/nemo_asr.html - categories: - Computer Vision - Image Annotation - Object Detection - Segment Anything Model hide_frontmatter_title: true hide_menu: true image: /tutorials/sam2-images.png meta_title: Using SAM2 with Label Studio for Image Annotation order: 15 tier: all title: SAM2 with Images type: guide url: /tutorials/segment_anything_2_image.html - categories: - Computer Vision - Video Annotation - Object Detection - Segment Anything Model hide_frontmatter_title: true hide_menu: true image: /tutorials/sam2-video.png meta_title: Using SAM2 with Label Studio for Video Annotation order: 15 tier: all title: SAM2 with Videos type: guide url: /tutorials/segment_anything_2_video.html - categories: - Computer Vision - Object Detection - Image Annotation - Segment Anything Model - Facebook - ONNX hide_frontmatter_title: true hide_menu: true image: /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: /tutorials/segment_anything_model.html - categories: - Natural Language Processing - Text Classification - Scikit-learn hide_frontmatter_title: true hide_menu: true image: /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: /tutorials/sklearn_text_classifier.html - categories: - Natural Language Processing - Named Entity Recognition - SpaCy hide_frontmatter_title: true hide_menu: true image: /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: /tutorials/spacy.html - categories: - Computer Vision - Optical Character Recognition - Tesseract hide_frontmatter_title: true hide_menu: true image: /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: /tutorials/tesseract.html - categories: - Generative AI - Large Language Model - WatsonX hide_frontmatter_title: true hide_menu: true image: /tutorials/watsonx.png meta_title: Integrate WatsonX with Label Studio order: 15 tier: all title: Integrate WatsonX with Label Studio type: guide url: /tutorials/watsonx_llm.html - categories: - Computer Vision - Object Detection - Image Segmentation - YOLO hide_frontmatter_title: true hide_menu: true image: /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: /tutorials/yolo.html - categories: - Computer Vision - Video Classification - Temporal Labeling - LSTM hide_frontmatter_title: true hide_menu: true image: /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: /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 order_enterprise: 260 section: Machine Learning tier: all title: ML Examples and Tutorials type: guide ---