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Covers decision making, limits & quotas, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.\n\n## How to Use This Skill\n\n> **IMPORTANT for Agent**: Use the **Category Index** below to locate relevant sections. For categories with line ranges (e.g., `L35-L120`), use `read_file` with the specified lines. For categories with file links (e.g., `[security.md](security.md)`), use `read_file` on the linked reference file\n\n> **IMPORTANT for Agent**: If `metadata.generated_at` is more than 3 months old, suggest the user pull the latest version from the repository. If `mcp_microsoftdocs` tools are not available, suggest the user install it: [Installation Guide](https:\u002F\u002Fgithub.com\u002FMicrosoftDocs\u002Fmcp\u002Fblob\u002Fmain\u002FREADME.md)\n\nThis skill requires **network access** to fetch documentation content:\n- **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown.\n- **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text\u002Fmarkdown`. Returns Markdown.\n\n## Category Index\n\n| Category | Lines | Description |\n|----------|-------|-------------|\n| Decision Making | L33-L39 | Guides for planning and executing migrations and upgrades between Azure Vision Image Analysis and Read OCR versions\u002Fcontainers, including breaking changes and app update steps. |\n| Limits & Quotas | L40-L51 | Limits, thresholds, and taxonomies for Image Analysis: category lists, adult content scores, object\u002Fpeople detection constraints, smart-crop behavior, and OCR language support. |\n| Configuration | L52-L57 | Configuring Vision Read OCR containers and setting up Azure Blob Storage access for image retrieval, including environment settings, networking, and storage connection details. |\n| Integrations & Coding Patterns | L58-L68 | How to call and configure Azure Vision\u002FRead APIs and SDKs for OCR, embeddings, thumbnails, background removal, domain models, and live video frame analysis. |\n| Deployment | L69-L72 | Installing, configuring, and running the Azure AI Vision Read OCR container locally or on-premises, including prerequisites, deployment steps, and runtime settings. |\n\n### Decision Making\n| Topic | URL |\n|-------|-----|\n| Plan migration from Azure Vision Image Analysis | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fmigration-options |\n| Migrate to Azure Vision Read OCR container v3.x | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fread-container-migration-guide |\n| Upgrade applications from Read v2.x to v3.0 | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fupgrade-api-versions |\n\n### Limits & Quotas\n| Topic | URL |\n|-------|-----|\n| Reference taxonomy categories for Azure Vision | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fcategory-taxonomy |\n| Understand Image Analysis 3.2 categorization taxonomy limits | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fconcept-categorizing-images |\n| Interpret adult content detection scores and thresholds | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fconcept-detecting-adult-content |\n| Use smart-cropped thumbnails with Image Analysis 4.0 | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fconcept-generate-thumbnails-40 |\n| Use object detection and understand feature limits | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fconcept-object-detection |\n| Understand Image Analysis 4.0 object detection limits | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fconcept-object-detection-40 |\n| Use people detection and understand its limits | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fconcept-people-detection |\n| Check supported languages for Azure Vision OCR | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Flanguage-support |\n\n### Configuration\n| Topic | URL |\n|-------|-----|\n| Configure Azure Vision Read OCR containers | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fcomputer-vision-resource-container-config |\n| Configure Azure Blob Storage for Vision image retrieval | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fhow-to\u002Fblob-storage-search |\n\n### Integrations & Coding Patterns\n| Topic | URL |\n|-------|-----|\n| Call domain-specific models with Azure Vision | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fconcept-detecting-domain-content |\n| Analyze live video frames with Azure Vision API | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fhow-to\u002Fanalyze-video |\n| Call and configure Image Analysis 3.2 API | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fhow-to\u002Fcall-analyze-image |\n| Call and configure Image Analysis 4.0 API | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fhow-to\u002Fcall-analyze-image-40 |\n| Call and configure Azure Vision Read v3.2 API | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Fai-services\u002Fcomputer-vision\u002Fhow-to\u002Fcall-read-api |\n| Use multimodal embeddings for image retrieval | 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