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AI-103 Practice Question 67: Custom Vision Classification vs Detection

Microsoft Azure AI Apps and Agents Developer Associate (AI-103) · Test 7 · question 7 of 10

Implement computer vision solutionseasy

A quality-control team wants a custom model that, given a photo of a pallet holding several mixed products, returns the location of *each* individual item on the pallet along with what it is, so a robot arm can pick a specific one. They plan to train it with Custom Vision.

Which project type should they create?

Select one answer
Show answer and explanation

Answer:

  • D. Object detection, so the model returns coordinates for each identified item in the image

Microsoft's own distinction is the deciding fact: "Image classification applies one or more labels to an entire image. Object detection is similar, but it returns the coordinates in the image where the applied label(s) are found." The robot arm needs to know *where* each product is on the pallet, not just that the pallet as a whole contains those products; that requires per-item bounding boxes, which only object detection provides.

- A is wrong because multilabel classification can say the pallet contains several product tags, but it labels the whole image; it has no coordinates for the arm to act on. - B is wrong not because the project type is wrong, object detection is correct, but because the justification is wrong. The domain choice is about which visual features the model optimizes for and export format, not about whether coordinates are returned; picking it "for smaller model size" misses why object detection is required here in the first place. - C is wrong for the same structural reason as A, and multiclass additionally assumes a single category per image, which doesn't fit a pallet holding mixed products at all.

Reference: What is Custom Vision?

Practice Test 7 ›

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