# Train from Azure Vision

{% hint style="info" %}
This training option is only available on Enterprise plans.
{% endhint %}

## Microsoft Azure Custom Vision Training Integration

Once you've created a version of your dataset in Roboflow, you can export it directly to Microsoft Azure Custom Vision for training.

### **Pre-requisites:**

A dataset version in Roboflow:

![Example generated dataset version in Roboflow](/files/-Mc7UOzxZeIfgkEjlrLK)

**A Custom Vision project in Microsoft Azure:**

![Example Custom Vision project in Microsoft Azure](/files/-Mc7JCUND8KyLF21VfGS)

### Setup: Adding Your Microsoft Azure API Keys to Roboflow

1\. Select your project name in Microsoft Azure

![](/files/-Mc7K_Fu28OKCE-HT7hF)

2\. Select API Key under "1" in order to take you to this page:

![](/files/-Mc7NL1CXWY378r7fNKA)

We'll copy the keys from this page to your Roboflow Workspace.

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3\. Navigate to your Roboflow Workspace's API keys in settings by clicking the dropdown menu n the Workspace.

![](/files/-Mc7PcqINsA6BAPjxsA2)

You'll see "API Keys" as a sub menu:

![](/files/-Mc7QJfaU41wuAnKT98w)

4\. Copy **KEY 1** from your Microsoft Azure account to the **"training-key"** in Roboflow

*NOTE: For datasets larger than 1000 images, Azure will require S0 pricing tier.*

5\. Update the **Endpoint** field in Roboflow to match the **Endpoint** field from your Microsoft Custom Vision project.

From here, you're ready to start training with Roboflow and Microsoft Custom Azure together. Steps 1-5 only need to be completed once. To continue training with Azure, proceed.

### **Training in Azure Custom Vision**

6\. Once you've generated a dataset version, export the project as "Azure Custom Vision."

![](/files/-Mc7T2dq9W0zlCJx4CoA)

The project will automatically upload to your Azure account, and you'll be able to proceed with training there.

![](/files/-Mc7TWHnCePZCn33COL3)

(Note: ensure you're logged into your Microsoft Azure account in the same browser as your Roboflow account.)

Your exported dataset version will appear directly in your Azure account.

![](/files/-Mc7Tm9CYelrC1geLRou)


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