From the course: Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure

Introduction to Azure AI Vision

From the course: Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure

Introduction to Azure AI Vision

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- [Presenter] Microsoft Azure AI Vision provides prebuilt and customizable computer vision models, powered by the Florence foundation model, giving you a range of powerful capabilities. With Azure AI Vision, you can quickly and easily create advanced computer vision solutions. Key features include the following. The service uses optical character recognition, OCR, to detect and extract text from images. For example, it can read on nutrition label on a grocery store product. The service evaluates objects in an image and generates a human-readable description. For instance, it can detect and describe multiple objects in a scene. Azure AI Vision can identify thousands of common objects and images, providing a confidence score for each. It also returns bounding box coordinates to show exactly where each object is located. Based on the images content, the service suggests tags for indexing and search purposes, making it easier to organize and retrieve images. You can search for specific moments in your photo collection, like a wedding, your pet, or your favorite city, based on the images' content rather than manually assigned keywords. Other capabilities include brand detection, image categorization, face detection, and many more. For a full list of features, visit Azure AI Vision documentation. To use Azure AI Vision, you need to create a resource for it in your Azure subscription. You can use either of the following resource types. The Azure AI Vision service resource type is used if you don't intend to use any other Azure AI services, or if you want to track utilization and cost for Azure AI Vision resource separately. The Azure AI services resource is a general resource that includes Azure AI Vision along with many other Azure AI services, such as Azure AI Language, OpenAI, Speech, Content Safety, and Translator. Use this resource type if you plan to use multiple AI services and want to simplify administration and development. Once setup, there are multiple ways to access the service. Azure AI Vision Studio is a user-friendly interface to explore and test features without writing code. After experimenting, developers can integrate these services into applications using client libraries and APIs. Give Azure AI Vision a try and see how it can simplify your computer vision tasks.

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