If you are building a tool to process retail images and identify competitor products, which Azure Cognitive Services service should you utilize?

Prepare for the Microsoft Azure AI Fundamentals certification with flashcards and multiple-choice questions. Enhance your understanding with helpful hints and explanations. Get ready for your certification success!

When building a tool to process retail images and identify competitor products, the most appropriate choice is Custom Vision. This service is specifically designed for creating custom image classification models. It allows users to train models on their own datasets, making it particularly effective for specialized tasks such as identifying and distinguishing between different products in images.

Custom Vision provides a user-friendly interface to upload and label images, enabling the model to learn to recognize various products based on visual features. Once trained, the model can be used to categorize new images and identify competitor products accurately, which is essential for a retail application focused on image analysis.

In contrast, while Computer Vision can analyze images and extract information, it is not specifically tailored for custom classification tasks as the Custom Vision service is. The Face API is intended for facial recognition and analysis and would not apply in this scenario, while Text Analytics focuses on extracting insights from text, making it irrelevant in the context of image processing for product identification.

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