Confusing and possibly incomplete tutorial

[Sergong]

[Enter feedback here] This tutorial is very confusing and most likely missing steps. I’m trying to follow it but got stuck after the “Add a dataset” step. I’ve created the data set and then it tells us to create an ML Labelling project and then return to Vision Studio. In the ML Labelling project the data set we created earlier is not available, so we have to upload our images again to another storage account associated with the ML project. None of the steps required to get you from “Create an Azure Machine Learning labeling project” to “Azure Machine Learning: Create labels” appear to be covered in this tutorial. These step are super confusing as it is not clear how to achieve the outcome shown in the picture under the “Azure Machine Learning: Create labels” step

Also, when we get back to Vision Studio none of the resources created earlier (such as the data set) are available, so you’re basically back to square 1.

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Document Details

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• ID: 94f54519-1602-35d4-2267-06175e7f0ba5
• Version Independent ID: d5b4d04e-5330-0087-5c5f-c238205510a0
• Content: Create a custom Image Analysis model - Azure Cognitive Services
• Content Source: articles/cognitive-services/Computer-vision/how-to/model-customization.md
• Service: cognitive-services
• Sub-service: computer-vision
• GitHub Login: @PatrickFarley
• Microsoft Alias: pafarley

[SaibabaBalapur-MSFT]

@Sergong Thanks for your feedback! We will investigate and update as appropriate.

[RamanathanChinnappan-MSFT]

@Sergong

I've delegated this to @PatrickFarley , a content author, to review and share their valuable insights.

[PatrickFarley]

Hi @Sergong What was the result when you attempted this step?

Once the Azure Machine Learning project is created, return to the Vision Studio tab and select it under Workspace. The Azure Machine Learning portal will then open in a new browser tab.

[PatrickFarley]

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