Classify Images

By Ashwin Venugopal -

 






Introduction

Image classification is employed to identify the primary focus of an image. The Azure AI Custom Vision services allow you to create a model that sorts images according to your specific categories. Image classification is a prevalent issue in computer vision that involves software examining an image to sort it into categories (or classifications).

Provision Azure Resources for Azure AI Custom Vision

You can create your own computer vision models for object recognition or image categorization using the Azure AI Custom Vision service. Creating an Azure AI Custom Vision solution involves two tasks:

  • Use existing (labeled) images to train an Azure AI Custom Vision model.
  • Create a client application that submits new images to your model to generate predictions.

To use the Azure AI Custom Vision service, you must provision two kinds of Azure resource:

A training resource used to train your models. This can be:

  • An Azure AI services multi-service resource.
  • An Azure AI Custom Vision (Training) resource.

A prediction resource, used by client applications to get predictions from your model. This can be:

  • An Azure AI services multi-service resource.
  • An Azure AI Custom Vision (Prediction) resource.

You can mix and match different resource types, such as utilizing an Azure AI Custom Vision (Training) resource to train a model that you subsequently publish using an Azure AI services multi-service resource, and you can use an Azure AI services multi-service resource for both training and prediction. The key and endpoint for training and prediction will be the same when utilizing a multi-service resource.

Conclusion

We have successfully learnt about Azure resources for Azure AI custom vision model.

 




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