Learn about the key capabilities of Azure AI Vision models, including image captioning, object detection, and image classification. Discover why speech recognition is not a supported feature and how these tools can enhance your AI projects effectively.
Table of Contents
Question
Which of the following functionalities is NOT directly supported by the pre-built Azure AI Vision models?
A. Image captioning
B. Speech recognition
C. Object detection
D. Image classification
Answer
B. Speech recognition
Explanation
The pre-built Azure AI Vision models do not directly support Speech recognition. While Azure AI offers various AI services, including speech recognition in Azure Cognitive Services, pre-built Azure AI Vision models specifically focus on visual analysis and do not directly support speech recognition functionalities. To use the Azure AI Vision service, you need to create a dedicated “Azure AI Vision” or a broader “Azure AI Services” resource within your Azure subscription, depending on your needs. Once set up, you can submit images to Azure AI Vision for various analyses, including:
- Optical Character Recognition (OCR): Extracting text embedded within images.
- Image Captioning: Generating textual descriptions of the image content.
- Object Detection: Identifying and locating objects within images, providing details including bounding boxes and confidence scores.
- Image Tagging: Assigning relevant keywords to describe the image content, and facilitating categorization and search based on these tags.
The pre-built Azure AI Vision models directly support image classification. Azure AI Vision provides pre-built models for classifying images into different categories based on their content.
The pre-built Azure AI Vision models directly support object detection. Azure AI Vision models can identify and locate objects within images, returning their positions and details.
The pre-built Azure AI Vision models directly support image captioning. Pre-built models can analyze and generate descriptions of the content depicted in images.
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