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### YamlMime:Landing
title: Custom Vision documentation # < 60 chars
summary: Azure AI Custom Vision lets you build, deploy, and improve your own image classifiers. An image classifier is an AI service that applies content labels to images based on their visual characteristics. # < 160 chars
metadata:
title: Custom Vision documentation - Quickstarts, Tutorials, API Reference - Azure AI services | Microsoft Docs
description: Custom Vision lets you build, deploy, and improve your own image classifiers. An image classifier is an AI service that applies labels (which represent classes) to images, based on their visual characteristics.
ms.service: azure-ai-custom-vision
ms.topic: landing-page
author: PatrickFarley
ms.author: pafarley
ms.date: 01/22/2024
# linkListType: architecture | concept | deploy | download | get-started | how-to-guide | learn | overview | quickstart | reference | tutorial | video | whats-new
landingContent:
# Cards and links should be based on top customer tasks or top subjects
# Start card title with a verb
# Card
- title: About Custom Vision
linkLists:
- linkListType: overview
links:
- text: What is Custom Vision?
url: overview.md
- linkListType: whats-new
links:
- text: What's new
url: whats-new.md
- linkListType: learn
links:
- text: Microsoft Learn training
url: /training/modules/classify-images-custom-vision/
- linkListType: video
links:
- text: Train and identify unique images
url: /Shows/AI-Show/Azure-Custom-Vision-How-to-Train-and-Identify-Unique-Designs-or-Image-Content
- title: Build an image classifier
linkLists:
- linkListType: quickstart
links:
- text: Using the web portal
url: getting-started-build-a-classifier.md
- text: Using the Custom Vision SDK or REST API
url: quickstarts/image-classification.md
- linkListType: how-to-guide
links:
- text: Use the prediction API
url: use-prediction-api.md
- title: Build an object detector
linkLists:
- linkListType: quickstart
links:
- text: Using the web portal
url: get-started-build-detector.md
- text: Using the Custom Vision SDK
url: quickstarts/object-detection.md
- linkListType: how-to-guide
links:
- text: Use the prediction API
url: use-prediction-api.md
- linkListType: tutorial
links:
- text: Logo detector for mobile
url: logo-detector-mobile.md
- title: Test and improve models
linkLists:
- linkListType: how-to-guide
links:
- text: Test your model
url: test-your-model.md
- text: Improve your model
url: getting-started-improving-your-classifier.md
- text: Use Smart Labeler
url: suggested-tags.md
- title: Export your model
linkLists:
- linkListType: how-to-guide
links:
- text: Export model to mobile
url: export-your-model.md
- text: Export a model programmatically
url: export-programmatically.md
- text: Use ONNX model with Windows ML
url: custom-vision-onnx-windows-ml.md
- text: Run TensorFlow model in Python
url: export-model-python.md
- linkListType: tutorial
links:
#- text: IoT Visual Alerts app
# url: iot-visual-alerts-tutorial.md
- text: Logo detector for mobile
url: logo-detector-mobile.md
- title: Reference
linkLists:
- linkListType: reference
links:
- text: Training API
url: /rest/api/customvision/train-project
- text: Prediction API
url: /rest/api/customvision/operation-groups
- text: .NET SDK
url: /dotnet/api/overview/azure/custom-vision
- text: Python SDK
url: /python/api/azure-cognitiveservices-vision-customvision/
- text: Java SDK
url: /java/api/overview/azure/cognitiveservices/client/customvision
- text: Go SDK (training)
url: https://godoc.org/github.com/Azure/azure-sdk-for-go/services/cognitiveservices/v2.1/customvision/training
- text: Go SDK (prediction)
url: https://godoc.org/github.com/Azure/azure-sdk-for-go/services/cognitiveservices/v1.1/customvision/prediction
- text: Azure PowerShell
url: /powershell/module/az.cognitiveservices/#cognitive_services
- text: Azure Command-Line Interface (CLI)
url: /cli/azure/cognitiveservices
- title: Help and feedback
linkLists:
- linkListType: reference
links:
- text: Support and help options
url: ../cognitive-services-support-options.md?context=/azure/ai-services/custom-vision-service/context/context