Summary and knowledge check

The Computer Vision API is a powerful tool for processing images. Using this service instead of building your own has the potential to save you significant development and maintenance costs. You concentrate on writing business logic to make decision relevant to your business and let the Computer Vision API extract rich information from images to categorize and process visual data.

In this module, we analyzed images, extracted text, and generated thumbnails. To call the Computer Vision API, we created a cognitive services account in our Azure subscription. This account gave us the access keys we needed to make calls.

As a next step, take some time to make the same calls with your own images. Then, tweak parameters on each call to see the effect they have on the results. You can go further and try out the other operations on the API, such as, describe and tag.

Clean up

The sandbox automatically cleans up your resources when you're finished with this module.

When you're working in your own subscription, it's a good idea at the end of a project to identify whether you still need the resources you created. Resources left running can cost you money. You can delete resources individually or delete the resource group to delete the entire set of resources.

Further reading

Check your knowledge


When analyzing an image using the Computer Vision API, you can specify visual feature types to return. Which of the following is a valid visual feature type when calling the 'analyze' operation?


Which of the following choices describes what smart cropping does when generating a thumbnail with the generateThumbnail operation?


You're integrating the Computer Vision API into your solution. You created a cognitive services account for the Computer Vision service in the eastus region. Which of the following is the correct address for you to access the ocr operation?