Computer vision capabilities can be deployed to

"A subfield of AI that enables computers to see Transcribed image text: Which of the following statements best describes computer vision? A subfield of AI that enables computers to see, observe, and understand visual information.
How do you deploy computer vision?
Deploying a computer vision model can be achieved through various methods.
One common approach involves deploying and serving the model using API endpoints, where the model is accessed through REST or RPC APIs._{Jun 27, 2023}.
What are the capabilities of computer vision?
Computer vision is a field of computer science that focuses on enabling computers to identify and understand objects and people in images and videos.
Like other types of AI, computer vision seeks to perform and automate tasks that replicate human capabilities..
What are two capabilities of the Azure computer vision service?
Azure AI Vision is a unified service that offers innovative computer vision capabilities.
Give your apps the ability to analyze images, read text, and detect faces with prebuilt image tagging, text extraction with optical character recognition (OCR), and responsible facial recognition..
What can be performed by using computer vision?
Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions..
Which two tasks can be performed by using the computer vision service?
Some of the common e computer vision problems include image classification, object localization and detection, and image segmentation.
Computer vision applications include fields like: facial recognition technology, medical image analysis, self-driving cars, and intelligent video analytics..
Computer Vision in Manufacturing
In manufacturing, image recognition is applied for AI vision inspection, quality control, remote monitoring, and system automation.

Computer vision can monitor manufacturing machinery for maintenance purposes. It can also be used to monitor product quality and packaging on a production line.

The vision models can be deployed in local data centers, the cloud and edge devices.

Best Practices in Computer Vision Models Deployment

Test-driven machine learning development

Computer Vision Model Lifecycle

Deploying a computer vision model or rather any machine learning model is a challenge in itself, considering the fact that only a few of the developed models go to continuous production environments.
The CV model lifecycle starts from collecting quality data to preparing the data, training and evaluating the model, deploying the model, and monitori.

Cv Model Deployment Maturity Levels

The success of an ML deployment mostly lies in the level of automation.
So that means the lesser the manual intervention required to maintain the model in production, the more mature it has become.
The levels of maturity can be attributed to current deployment practices shown below.
You can read the detailed article on the Google Cloud documentatio.

How do I use the computer vision service?

In this lab, you’ll use a simple command-line application to see the Computer Vision service in action.
The same principles and functionality apply in real-world solutions, such as:

web sites or phone apps.
You can use the Computer Vision service by creating either a Computer Vision resource or an Azure AI services resource.

How to use computer vision in azure?

You should see the following screen in the Azure portal:

Now that you have a Cloud Shell environment

you can run a simple application that uses the Computer Vision service to analyze an image.
In the command shell, enter the following command to download the sample application and save it to a folder called ai-900.

What are the different types of computer vision applications?

Here are just a few different types of computer vision applications:

Computer vision can be used to identify people or objects in photos and organize them based on that identification.
Photo recognition applications like this are commonly used in photo storage and social media applications.

Computer vision capabilities can be deployed to

How do you deploy computer vision?

What are the capabilities of computer vision?

What are two capabilities of the Azure computer vision service?

What can be performed by using computer vision?