Can't delete my previous comment. I guess I was wrong. The correct answer should be B.
https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-brand-detection
I agree, B is correct answer.
Reasoning:
in the documentation linked by Freelf it states the below.
'The built-in logo database covers popular brands in consumer electronics, clothing, and more. If you find that the Vision service doesn't detect the brand you're looking for, you could also try creating and training your own logo detector using the Custom Vision service.'
Built in would refer to Computer Vision. you could also achieve this with Custom Vision but for the context of this question it does not mention any requirement to make a custom model, so you would not over engineer this.
B is correct
I'm choosing B based on comments and posing this question to AI search. Azure Computer Vision is the primary Azure AI service you'd likely use to identify brand names in images. It offers robust image analysis capabilities, including object detection and recognition.
Computer Vision Image Analysis capabilities
Azure's Computer Vision Image Analysis capabilities include a feature called Brand Detection that can recognize popular brands within images. This pre-built functionality allows the bot to detect and identify brand logos and names without the need for custom model training.
Custom Vision is a part of Azure’s Cognitive Services that allows you to build and refine your own custom image classification models. It can be trained to recognize various visual elements, including brand logos or specific products on supermarket shelves. While Computer Vision Image Analysis capabilities can analyze and describe an image with tags, it’s not specifically designed for custom tasks like identifying specific brand names in images.
Supermarkets have tens of thousands, if not hundred, of products. I believe Microsoft can identify big brands, like Tesla, Coca Cola, etc. They might have imported thousands of logos, but I don't think they can cover everything in a supermarket.
The answer is B, Computer Vision.
Brand detection is a specialized mode of object detection that uses a database of thousands of global logos to identify commercial brands in images or video. You can use this feature, for example, to discover which brands are most popular on social media or most prevalent in media product placement.
https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-brand-detection
Custom Vision allows you to train a model to recognize specific brands and objects within images, which is ideal for identifying and classifying various product brands on supermarket shelves.
For a bot that identifies brand names of products in images of supermarket shelves, the service used is:
B. Computer Vision Image Analysis capabilities
Computer Vision can analyze images to detect and identify objects and text, making it ideal for recognizing brand names in images.
Incorrect Options:
A. AI enrichment for Azure Search capabilities: This is more for enhancing search capabilities with AI, not specifically for image analysis.
C. Custom Vision Image Classification capabilities: While it can classify images, Custom Vision requires specific training for each brand, which might not be practical for a wide range of supermarket products.
D. Language Understanding capabilities: This service is used for understanding spoken or written language, not for image analysis.
Actually, the real service to be used in this context is OCR, if we assume that the brand name (and not just the logos) are visible on the packages. Training a custom Computer Vision model for this task is a bit of an overkill.
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