Exam AI-102 topic 2 question 28 discussion

I think the answer should be C, because of the minimized developement effort. Since the prebuilt model of C also fits the other two requirements, so there is no need to train a custom model. source: https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/how-to/call-analyze-image?tabs=rest

Here's why: Multilingual Tag Generation: Azure's Computer Vision Image Analysis service can analyze images and provide a list of tags describing the content of the images. It also has the capability to return these tags in various languages, including English, French, and Spanish, which aligns with your requirement. Minimizing Development Effort: This service offers a pre-built model, which means there is no need for you to collect data and train your own model. This significantly reduces the development effort and time. You simply need to call the API with your images, and it will return the tags.

B is the correct answer. As per documentation, Computer Vision Image Analysis currently support only English. Source: https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/overview-image-analysis?tabs=4-0 Search for text - "Currently, English is the only supported language for tagging and categorizing images." So, for multi-language support, we will have to use custom vision image classification.

Computer Vision Image Analysis provides a comprehensive set of features for analyzing images, including generating tags. It supports multiple languages, including English, French, and Spanish, which meets the requirement of generating tags in a user's preferred language. Additionally, it minimizes development effort by offering a ready-to-use endpoint for image analysis and tagging. C is correct

C is the answer.

Why C?

C is correct.

C is right.

C. Computer Vision Image Analysis

generate tags as per image is an Image Analysis operation rather than an image classification operation

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Selected Answer: B French is not supported by computer vision

C to minimize the effort: https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/overview-image-analysis?tabs=4-0

C is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-tagging-images Image Analysis can return content tags for thousands of recognizable objects, living beings, scenery, and actions that appear in images. Tags are not organized as a taxonomy and do not have inheritance hierarchies. A collection of content tags forms the foundation for an image description displayed as human readable language formatted in complete sentences. When tags are ambiguous or not common knowledge, the API response provides hints to clarify the meaning of the tag in context of a known setting.

Asked in 28/06/2023 exam

C: https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-tagging-images

chat gpt "To generate a list of tags for uploaded images in multiple languages, you should use the Computer Vision Image Analysis service endpoint in Azure. Computer Vision provides a pre-built model that can generate image tags based on a given image. It also supports multiple languages, including English, French, and Spanish, which meets the requirements of the app. Additionally, the service provides a REST API, which can be easily integrated into your app without requiring significant development effort."