Microsoft Certified Azure Fundamentals · Free Practice Question Medium
Question 22
You are creating an image classification solution on Azure to detect different types of road signs in real-time for a self-driving car. The system must be capable of detecting multiple signs in the same image. Which of the following types of image classification should you implement in this situation?
Select only one answer.
-
A
Multilabel Classification
-
B
Binary Classification
-
C
Multiclass Classification
-
D
Transfer Learning
Reveal correct answer
Correct answer: A
A.
Multilabel Classification is ideal for this scenario, as it allows an image to belong to multiple classes at the same time. In this case, each road sign can be a separate class.
B.
Binary Classification is suitable for cases where the outcome has only two possible types. It is not applicable for identifying multiple road signs in the same image.
C.
Multiclass Classification allows an image to be classified into one of many classes, but it does not allow for an image to belong to multiple classes simultaneously.
D.
Transfer Learning is a method of leveraging a pre-trained model for a related task, and it does not directly cater to the requirement of identifying multiple objects in an image.
Discussion
Think the marked answer is wrong, or have a better explanation? Share it below — comments appear after review.
