Computer Vision & Azure Vision — AI-900 Practice Question
A representative Microsoft Azure AI Fundamentals (AI-900) exam question on Computer Vision & Azure Vision. Work through it below, then read why each option is right or wrong.
Short answer
The correct answer is B. Object Detection.
Object Detection identifies multiple objects within an image AND provides their locations using bounding boxes. This is ideal for inventory tracking where you need to know both what products are present and where they are on the shelf. Image Classification (A) only assigns one label to the entire image. Image Segmentation (C) provides pixel-level object boundaries, which is more detailed than needed. OCR (D) extracts text.
The Question
A warehouse needs to track inventory by identifying and locating multiple products within a single shelf image, including their positions. Which computer vision capability is most appropriate?
Why B is correct
Object Detection identifies multiple objects within an image AND provides their locations using bounding boxes. This is ideal for inventory tracking where you need to know both what products are present and where they are on the shelf. Image Classification (A) only assigns one label to the entire image. Image Segmentation (C) provides pixel-level object boundaries, which is more detailed than needed. OCR (D) extracts text.
Why the other options are wrong
Option A does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (B) is the only one that fully meets every constraint stated in the question.
Option C does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (B) is the only one that fully meets every constraint stated in the question.
Option D does not satisfy the requirement in the scenario. Review the explanation above: the correct choice (B) is the only one that fully meets every constraint stated in the question.
Key idea: Computer Vision & Azure Vision
Object Detection identifies multiple objects within an image AND provides their locations using bounding boxes. This is ideal for inventory tracking where you need to know both what products are present and where they are on the shelf. Image Classification (A) only assigns one label to the entire image. Image Segmentation (C) provides pixel-level object boundaries, which is more detailed than needed. OCR (D) extracts text. On the AI-900 exam, questions in the "Computer Vision on Azure" domain test whether you can map a scenario's constraints to the right choice. Read the requirement carefully, eliminate options that violate any single constraint, and pick the one that satisfies all of them with the least operational overhead.
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