Microsoft Azure AI Engineer Associate AI-102 Practice Question
You have 6,000 photos of retail shelf displays. Each photo may show several different snack SKUs sold by your company. You must train an Azure Custom Vision model that can draw a bounding box around every instance of each SKU so that downstream code can count occurrences. When creating the project in the Custom Vision portal, which project type and domain should you select to meet the requirement with the least customization effort?
A Multiclass Classification project that uses the Retail (compact, ONNX-export) domain
An Object Detection project that uses the General domain
A Multiclass Classification project that uses the General (compact) domain
A Multilabel Classification project that uses the Retail domain
Only an Object Detection project returns bounding-box coordinates for every detected instance in an image. Choosing the built-in General object-detection domain supplies a pretrained backbone that works for a wide range of everyday objects, including packaged goods, so no extra custom domain is needed. Classification project types-whether multiclass or multilabel-return only a single set of tags for the whole image and therefore cannot locate or count individual SKUs. Selecting any classification domain would fail the requirement to draw boxes around each product.
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What are bounding boxes and how are they used in Object Detection?
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Microsoft Azure AI Engineer Associate AI-102
Implement computer vision solutions
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