Microsoft Azure AI Fundamentals AI-900 Practice Question
An organization wants to develop a computer vision system that can determine the overall theme or subject of an image and assign it to one predefined group.
Which type of computer vision solution is most appropriate for this requirement?
Image Classification solution - This is the correct answer. Image classification is the most appropriate solution for determining the overall theme or subject of an image and assigning it to a predefined group. The model will classify the image as belonging to one of the predefined categories based on the visual content of the image for example, "nature," "architecture," "people".
Object Detection solution - Object detection not only classifies objects but also locates them within the image using bounding boxes. This solution is more suited for identifying and locating multiple objects within an image rather than assigning the image to a single predefined group.
Optical Character Recognition (OCR) solution - OCR is used to extract and recognize text from images or scanned documents, not to classify images into thematic groups based on visual content.
Facial Detection solution - Facial detection is specialized in detecting faces within an image, which is not suited for classifying images into broader thematic groups.
Ask Bash
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
What is Image Classification?
Open an interactive chat with Bash
How does Object Detection differ from Image Classification?
Open an interactive chat with Bash
What is the role of Optical Character Recognition (OCR) in computer vision?
Open an interactive chat with Bash
Microsoft Azure AI Fundamentals AI-900
Describe Features of Computer Vision Workloads on Azure
Your Score:
Report Issue
Bash, the Crucial Exams Chat Bot
AI Bot
Loading...
Loading...
Loading...
IT & Cybersecurity Package Join Premium for Full Access