AI-900: How to use Custom Vision for product identification in retail images

Learn how to use Azure Custom Vision service to build, deploy, and improve your own image identifier models for identifying products of competitors in retail images.

Question

You are building a tool that will process images from retail stores and identify the products of competitors. The solution will use a custom model. Which Azure Cognitive Services service should you use?

A. Custom Vision
B. Form Recognizer
C. Face
D. Computer Vision

Answer

A. Custom Vision

Explanation

The correct answer is A. Custom Vision. This is because Custom Vision is an Azure Cognitive Services service that lets you build, deploy, and improve your own image identifier models. An image identifier applies labels to images, according to their visual characteristics. Each label represents a classification or object. In this scenario, you need to identify the products of competitors from images of retail stores, which requires a custom model that can recognize specific labels. Custom Vision allows you to specify your own labels and train custom models to detect them. The other options are not suitable for this scenario because:

• Form Recognizer is a service that extracts text and data from forms and documents. It is not designed for image recognition or classification tasks.
• Face is a service that detects and analyzes human faces in images. It is not suitable for identifying products or objects that are not faces.
• Computer Vision is a service that provides pre-trained models for analyzing and understanding images. It is not suitable for creating custom models or applying custom labels.

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