Object Detection is the appropriate technique because it not only identifies instances of objects within an image but also provides their locations, typically using bounding boxes. This makes it suitable for locating and counting products on shelves.
Image Classification assigns a label to an entire image but does not identify individual objects within the image or their positions.
Optical Character Recognition (OCR) is used to extract text from images, which is not relevant for detecting products.
Semantic Segmentation classifies each pixel in an image, assigning a class label to every pixel, which can provide more detailed localization but is more complex than necessary for simply locating and counting objects.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Computer Vision Workloads on Azure
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