According to Microsoft's documentation, you can use Custom Vision to label a collection of your personal digital photographs ¹. With Custom Vision, you can upload your own images and labels, and train a model to recognize specific objects or patterns [^web page^]. You can also use Smart Labeler to generate suggested tags for images, which lets you label a large number of images more quickly when you're training a Custom Vision model ¹.
Source: Conversation with Bing, 4/26/2023
(1) Label images faster with Smart Labeler - Azure Cognitive Services .... https://learn.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/suggested-tags Accessed 4/26/2023.
In fact the question 88 is very similar. "The Azure Cognitive Service that is best suited for building an image tagging solution for social media is Computer Vision.
Computer Vision is a service that can analyze and extract information from images, including facial recognition and tagging. With
Computer Vision, you can build solutions that automatically tag and label images based on the objects, scenes, and people they contain.
This makes it an ideal choice for building an image tagging solution for social media, which requires accurate and efficient tagging of
friends in images"
If you need to create a model that labels a collection of your personal digital photographs, you should use the Custom Vision service of Azure Cognitive Services. Custom Vision allows you to build custom image classifiers, making it ideal for labeling specific objects within your personal digital photographs.
The appropriate Azure Cognitive Service to use for labeling a collection of personal digital photographs is D. Computer Vision.
Azure Computer Vision provides pre-built models that can be used to analyze images and extract information about their content, including the ability to classify images into predefined categories. It offers a "Tags" feature that can automatically generate a list of descriptive words or phrases that represent the content of an image.
Form Recognizer (option A) is designed for extracting structured data from forms and documents, while Custom Vision (option B) is for training custom models to classify images into user-defined categories. Language (option C) is for analyzing and processing text data, not images.
Therefore, Azure Computer Vision is the most suitable service for labeling a collection of personal digital photographs by automatically generating descriptive tags for the images.
B is the answer.
https://learn.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/overview
Azure Custom Vision is an image recognition 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. Unlike the Computer Vision service, Custom Vision allows you to specify your own labels and train custom models to detect them.
given answer is wrong. Only with custom vision you can train a model using your images and tag. Computer Vision is not trainable or modifiable. It's a ready to go package.
D - Computer Vision. You upload your images in computer vision for it to analyze and give it a description. You can use that info to label your images.
You cannot do the same with custom vision because you an only use custom vision to do Image Classification i.e. to determine if a photo is an apple or orange or to do Object detection - which is not your requirement
Not necessarily. It does not mention that it needs a description, just that it needs a label (that you can provide). Therefore, you can train Custom Vision on a subset of your data, so the answer should be B. I don't think you can provide your own labels in the Computer Vision service.
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