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  1. Azure Vision documentation - Quickstarts, Tutorials, API Reference ...

    The cloud-based Azure Vision service provides developers with access to advanced algorithms for processing images and returning information. By uploading an image or specifying an image URL, …

  2. Azure Vision のドキュメント - クイック スタート、チュートリアル …

    クラウドベースの Azure Vision サービスを使用すると、開発者は画像を処理して情報を返す高度なアルゴリズムにアクセスできます。 Azure Vision アルゴリズムでは、画像をアップロードするか、画 …

  3. Azure 视觉文档 - 快速入门、教程和 API 参考 - Foundry 工具

    基于云的 Azure 视觉服务为开发人员提供了处理图像和返回信息的高级算法的访问权限。 通过上传图像或指定图像 URL,Azure 视觉算法可以根据输入和用户选择以不同的方式分析视觉内容。 使用快速 …

  4. Call Azure Vision v3.2 GA Read API - Foundry Tools

    Learn how to call Azure Vision v3.2 GA Read API and configure its behavior in detail.

  5. Azure Vision v3.2 GA 読み取り API を呼び出す - Foundry Tools

    Azure AI Vision v3.2 GA Read について 最新の Azure Vision v3.2 GA Read をお探しですか。 今後のすべての OCR の読み取り拡張機能は、前述の 2 つのサービスの一部です。 Azure Vision v3.2 のそ …

  6. What is Azure Vision in Foundry Tools? - Foundry Tools

    Azure Vision in Foundry Tools provides you with access to advanced algorithms for processing images and returning information.

  7. What is Image Analysis? - Foundry Tools | Microsoft Learn

    On March 31, 2025, Azure AI Image Analysis 4.0 Custom Image Classification, Custom Object Detection, and Product Recognition preview API were retired. API calls to these services will fail. …

  8. Computer Vision REST API reference - Azure Cognitive Services

    Sep 13, 2022 · This article demonstrates how to call a REST API endpoint for Computer Vision service in Azure Cognitive Services suite.. The cloud-based Computer Vision API provides developers with …

  9. Quickstart: Optical character recognition (OCR) - Foundry Tools

    Get started with Azure Vision in Foundry Tools Read REST API or client libraries. The Read API provides you with AI algorithms for extracting text from images and returning it as structured strings. …

  10. What's new in Azure Vision in Foundry Tools? - Foundry Tools

    Jul 31, 2022 · Azure Vision API v3.2 is now generally available with the following updates: Improved image tagging model: analyzes visual content and generates relevant tags based on objects, actions, …