Azure AI Custom Vision

What is Azure AI Custom Vision primarily used for?

• Training and deploying custom computer vision models

• Building chatbots

• Analysing large datasets of text

• Creating virtual machines

What type of data does Custom Vision require for training?

• Text documents

• Audio recordings

• Images labeled with specific categories

• Spreadsheets of data

What is the process of labeling images in Custom Vision called?

• Batching

• Tagging

• Compiling

• Uploading

What is the purpose of an "iteration" in Custom Vision?

• A collection of labeled images used to train a model

• A single image uploaded to the platform

• A test for evaluating model performance

• A deployment option for the model

What metric is used in Custom Vision to measure the accuracy of a model?

• Lines of code

• Precision

• File size

• Training time

How can you improve the accuracy of a Custom Vision model?

• Using fewer image categories

• Adding more labeled images

• Changing the model architecture

• Reducing the training time

What is the benefit of deploying a Custom Vision model as a web service?

• It allows the model to be integrated into other applications

• It increases the model's training speed

• It reduces the storage space required

• It improves the model's accuracy

What is the Azure resource used to manage access and permissions for Custom Vision projects?

• Virtual Network

• Azure Active Directory

• Storage Account

• Key Vault

What is NOT a supported image format for Custom Vision?

• JPEG

• PNG

• PDF

• BMP

What is the first step in creating a Custom Vision project?

• Training a model

• Defining image categories

• Uploading labeled images

• Deploying the model