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- Install the Image Analysis SDK - Azure AI services
In this guide, you learn how to install the Image Analysis SDK for your preferred programming language
- Quickstart: Image Analysis 4. 0 - Azure AI services
The Visual Studio IDE with workload NET desktop development enabled Or, if you don't plan on using Visual Studio IDE, you need the NET SDK installed Once you have your Azure subscription, create a Computer Vision resource in the Azure portal
- Microsoft Azure - Vision Studio
Get started with Azure AI Vision Give your apps the ability to read text, analyze images, and detect faces with technology like optical character recognition (OCR) and machine learning
- Quickstart: Image Analysis - Azure AI services | Microsoft Learn
You need the key and endpoint from the resource you create to connect your application to the Azure AI Vision service You can use the free pricing tier (F0) to try the service, and upgrade later to a paid tier for production
- What is Vision Studio? - Azure AI services | Microsoft Learn
Learn how to set up and use Vision Studio to test features of Azure AI Vision on the web
- azure-ai-vision · PyPI
Project description The Azure AI Vision SDK supports Image Analysis using the 4 0 REST APIs To learn how to use the SDK, have a look at Quickstart: Image Analysis 4 0
- Windows AI Studio : Getting Started | Microsoft Community Hub
Developers using Windows AI Studio can refine, customize, and deploy cutting-edge Small Language Models (SLMs) for local use within their windows applications The platform offers a comprehensive guided workspace setup, complete with a model configuration user interface and step-by-step instructions for fine-tuning popular SLMs (such as Phi
- Azure AI Vision documentation - Quickstarts, Tutorials, API Reference . . .
The cloud-based Azure AI Vision service provides developers with access to advanced algorithms for processing images and returning information By uploading an image or specifying an image URL, Azure AI Vision algorithms can analyze visual content in different ways based on inputs and user choices Learn how to analyze visual content in different ways with quickstarts, tutorials, and samples
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