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articles/ai-services/custom-vision-service/faq.yml

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title: Custom Vision frequently asked questions
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> [!TIP]
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> If you can't find answers to your questions in this FAQ, ask the Azure AI Vision API community on [StackOverflow](https://stackoverflow.com/questions/tagged/project-oxford+or+microsoft-cognitive) or contact Help and Support on [UserVoice](https://feedback.azure.com/d365community/forum/09041fae-0b25-ec11-b6e6-000d3a4f0858)
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> If you can't find answers to your questions in this FAQ, ask the Azure AI Vision API community on [StackOverflow](https://stackoverflow.com/questions/tagged/project-oxford+or+microsoft-cognitive) or contact Help and Support on [UserVoice](https://feedback.azure.com/d365community/forum/09041fae-0b25-ec11-b6e6-000d3a4f0858).
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See the [Limits and quotas](./limits-and-quotas.md) page for pricing information.
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Will I have to relabel images if I change domains in a project?
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Do I have to relabel images if I change domains in a project?
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You can switch domains in the project without relabeling, as long as you keep the same supervised learning domain (object detection or image classification).
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My project training took many hours to complete. Why is the turnaround time so long?
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High training traffic or high usage periods when many customers are training can impact training time. It leads to long queues and tight GPU resources. Sometimes, the job may stay in the queue and won't finish within a certain time frame, but it's guaranteed that our customers won't be charged for more than the set time budget.
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High training traffic or high usage periods when many customers are training can affect training time. It leads to long queues and tight GPU resources. Sometimes, the job might stay in the queue and won't finish within a certain time frame, but it's guaranteed that our customers won't be charged for more than the set time budget.
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Can I stop training once it has started?
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There is no way to cancel a training once it has been started.
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Once I've trained a Custom Vision model, can I manage/deploy the same model to different regions?
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Once I train a Custom Vision model, can I manage/deploy the same model to different regions?
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We don't have a use case for publishing a model to a different region, but we do offer the ability to export/import a project into different regions. See [Copy and back up Custom Vision projects](./copy-move-projects.md).
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What is the difference between Custom Vision and AutoML?
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Custom Vision is a tool for easily building Azure AI Vision models without needing to have any data science or ML knowledge. These models are pre-trained using datasets optimized for specific domains.
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Sometimes, your scenario might require more control over model training, deployment and the end-to-end ML lifecycle. AutoML is the ideal solution when you need this extra control, and it's addressed to customers with ML knowledge.
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Sometimes, your scenario might require more control over model training, deployment, and the end-to-end ML lifecycle. AutoML is the ideal solution when you need this extra control, and it's addressed to customers with ML knowledge.
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How can users be added to a multi-service account to collaborate on a Custom Vision project in the web portal?
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You can use Azure RBAC roles to give specific users access to collaborate on a custom vision portal project. See the [Role-based access control docs](./role-based-access-control.md)
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You can use Azure role-based access control (RBAC) roles to give specific users access to collaborate on a custom vision portal project. See the [Role-based access control docs](./role-based-access-control.md).
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Can training images be exported with the tags that were added in the Custom Vision portal?
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