1---
2name: azure-custom-vision
3description: 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).
4compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
5metadata:
6 generated_at: "2026-06-21"
7 generator: "docs2skills/1.0.0"
8---
9
10# Azure AI Custom Vision Skill
11
12This 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.
13
14## How to Use This Skill
15
16> **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
17
18> **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://github.com/MicrosoftDocs/mcp/blob/main/README.md)
19
20This skill requires **network access** to fetch documentation content:
21- **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown.
22- **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text/markdown`. Returns Markdown.
23
24## Category Index
25
26| Category | Lines | Description |
27|----------|-------|-------------|
28| Best Practices | L34-L39 | Improving Custom Vision model quality with better data collection/labeling strategies and using Smart Labeler to speed and automate image annotation |
29| Decision Making | L40-L45 | Guidance on selecting the best Custom Vision domain for your scenario and planning migrations from Custom Vision to other Azure or third‑party vision services. |
30| Limits & Quotas | L46-L50 | Details on Custom Vision usage limits per pricing tier, including training/prediction quotas, project and image caps, and how limits affect model training and deployment. |
31| Security | L51-L57 | Managing Custom Vision security: encryption with customer-managed keys, secure data handling/export/deletion, and configuring Azure RBAC roles and permissions. |
32| Integrations & Coding Patterns | L58-L68 | Using 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. |
33| Deployment | L69-L73 | Deploying Custom Vision models: copying/backing up projects across regions and exporting models for offline, edge, and mobile (TensorFlow, ONNX, iOS/Android) use. |
34
35### Best Practices
36| Topic | URL |
37|-------|-----|
38| Apply Custom Vision data strategies to improve models | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/getting-started-improving-your-classifier |
39| Speed up Custom Vision labeling with Smart Labeler | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/suggested-tags |
40
41### Decision Making
42| Topic | URL |
43|-------|-----|
44| Plan migration from Custom Vision to alternative services | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/migration-options |
45| Choose the right Custom Vision domain for your project | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/select-domain |
46
47### Limits & Quotas
48| Topic | URL |
49|-------|-----|
50| Review Custom Vision limits and quotas by tier | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/limits-and-quotas |
51
52### Security
53| Topic | URL |
54|-------|-----|
55| Configure customer-managed keys for Custom Vision encryption | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/encrypt-data-at-rest |
56| View, export, and delete Custom Vision data securely | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/export-delete-data |
57| Configure Azure RBAC roles for Custom Vision projects | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/role-based-access-control |
58
59### Integrations & Coding Patterns
60| Topic | URL |
61|-------|-----|
62| Integrate Custom Vision ONNX models with Windows ML apps | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/custom-vision-onnx-windows-ml |
63| Run exported Custom Vision TensorFlow models in Python | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/export-model-python |
64| Export Custom Vision models programmatically with SDK | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/export-programmatically |
65| Use Custom Vision SDK for image classification | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/quickstarts/image-classification |
66| Call Custom Vision object detection APIs with SDK | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/quickstarts/object-detection |
67| Integrate Custom Vision with Azure Storage queues and blobs | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/storage-integration |
68| Use Custom Vision prediction API to test images | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/use-prediction-api |
69
70### Deployment
71| Topic | URL |
72|-------|-----|
73| Copy and back up Custom Vision projects across regions | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/copy-move-projects |
74| Export Custom Vision models for offline and mobile use | https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/export-your-model |
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