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azure-custom-vision

Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. Use when exporting Custom Vision models, calling prediction APIs, using ONNX/TensorFlow, managing CMK/RBAC, or Smart Labeler, and other Azure AI Custom Vision related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI services (use microsoft-foundry-tools), Azure Machine Learning (use azure-machine-learning), Azure AI Foundry Local (use microsoft-foundry-local).

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SKILL.md (original)

Review the instructions the agent will receive before you install.

Azure AI Custom Vision Skill

This skill provides expert guidance for Azure AI Custom Vision. Covers best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

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

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

This skill requires network access to fetch documentation content:

  • Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
  • Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

CategoryLinesDescription
Best PracticesL34-L39Improving Custom Vision model quality with better data collection/labeling strategies and using Smart Labeler to speed and automate image annotation
Decision MakingL40-L45Guidance on selecting the best Custom Vision domain for your scenario and planning migrations from Custom Vision to other Azure or third‑party vision services.
Limits & QuotasL46-L50Details on Custom Vision usage limits per pricing tier, including training/prediction quotas, project and image caps, and how limits affect model training and deployment.
SecurityL51-L57Managing Custom Vision security: encryption with customer-managed keys, secure data handling/export/deletion, and configuring Azure RBAC roles and permissions.
Integrations & Coding PatternsL58-L68Using Custom Vision models and APIs in apps: exporting via SDK, running ONNX/TensorFlow in Windows ML/Python, calling classification/detection APIs, and integrating with Azure Storage.
DeploymentL69-L73Deploying Custom Vision models: copying/backing up projects across regions and exporting models for offline, edge, and mobile (TensorFlow, ONNX, iOS/Android) use.

Best Practices

TopicURL
Apply Custom Vision data strategies to improve modelshttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/getting-started-improving-your-classifier
Speed up Custom Vision labeling with Smart Labelerhttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/suggested-tags

Decision Making

TopicURL
Plan migration from Custom Vision to alternative serviceshttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/migration-options
Choose the right Custom Vision domain for your projecthttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/select-domain

Limits & Quotas

TopicURL
Review Custom Vision limits and quotas by tierhttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/limits-and-quotas

Security

TopicURL
Configure customer-managed keys for Custom Vision encryptionhttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/encrypt-data-at-rest
View, export, and delete Custom Vision data securelyhttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/export-delete-data
Configure Azure RBAC roles for Custom Vision projectshttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/role-based-access-control

Integrations & Coding Patterns

TopicURL
Integrate Custom Vision ONNX models with Windows ML appshttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/custom-vision-onnx-windows-ml
Run exported Custom Vision TensorFlow models in Pythonhttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/export-model-python
Export Custom Vision models programmatically with SDKhttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/export-programmatically
Use Custom Vision SDK for image classificationhttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/quickstarts/image-classification
Call Custom Vision object detection APIs with SDKhttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/quickstarts/object-detection
Integrate Custom Vision with Azure Storage queues and blobshttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/storage-integration
Use Custom Vision prediction API to test imageshttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/use-prediction-api

Deployment

TopicURL
Copy and back up Custom Vision projects across regionshttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/copy-move-projects
Export Custom Vision models for offline and mobile usehttps://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/export-your-model

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