Image Analysis with Azure AI

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Image Analysis with Azure AI

In this hands-on lab, you’ll use a pre-provided command-line application to utilize Azure AI Vision to scan images and get back an image description, image tags, and detect faces in the picture.

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Lab Info

Level

Beginner

Last updated

Sep 24, 2025

Duration

45m

Challenge

Review the image to be analyzed
- Review the image provided for the lab (https://raw.githubusercontent.com/pluralsight-cloud/AI-900-Artificial-Intelligence-Workloads-and-Considerations/main/images/image-analysis/1-computervision-couple.jpg)
- Make some guesses about what description and tags might come back from the Azure AI Vision service.
Challenge

Open and prepare the cloud shell
- If you are unfamiliar with the cloud shell, it is the first icon to the right of the search bar. It looks like a command prompt icon.
1. Open the Cloud Shell by selecting the command line icon in the top bar in the Azure Portal.
2. When prompted for the environment, choose Bash.
3. Choose Mount storage account.
4. Choose the lab provided Storage account subscription.
5. Click Apply.
6. Choose Select existing storage account.
7. Click** Next**.
8. Make sure the lab provided Subsciption, Resource Group, and Storage account name are selected.
9. Click Create a file share.
10. Provide the name of imageanalysis and click Ok.
11. Click Select. Your new Cloud Shell should appear.
Challenge

Prepare the application
Run the following command to clone the GitHub repository that contains the image analysis application
```
git clone https://github.com/pluralsight-cloud/AI-900-Artificial-Intelligence-Workloads-and-Considerations.git 
```
Change directory into the created folder and install application requirements by running the following command
```
pip install -r requirements.txt --user
```
Challenge

Modify the pre-provided command line application
- Copy KEY 1 from the Azure AI resource and paste it into the 1-image-analysis.py python file replacing the text that says "Paste_key_here" Make sure to keep the quotation marks around the key.
- Copy the Endpoint from the Azure AI resource and paste it into the 1-image-analysis.py python file replacing the text that says "Paste_endpoint_here" Make sure to keep the quotation marks around the endpoint.
- Save the file by pressing Crtl+S or by clicking on the right hand side of the editor below the X and hit save.
Challenge

Run the application and analyze an image
Run the application by using the following command:
```
python /home/cloud/AI-900-Artificial-Intelligence-Workloads-and-Considerations/1-image-analysis.py
```
Review results of the image analysis.

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