Learn about the core features of Computer Vision while understanding what it doesn’t cover—like Automated Machine Learning and Text Analytics. Discover the scope of Computer Vision in visual analysis.
Table of Contents
Question
What are NOT the main features and capabilities of Computer vision?
Please select all options that apply.
A. Anomaly Detection
B. Image classification
C. Automated machine learning
D. Object Detection
E. Text Analytics
F. Semantic segmentation
G. Optical character recognition
Answer
A. Anomaly Detection
C. Automated machine learning
E. Text Analytics
Explanation
Microsoft Computer vision includes six features and capabilities:
Image classification – helps analyze images and video, detect objects and text, extract descriptions, and create tags.
Object detection – helps to identify objects and their boundaries within the image.
Semantic segmentation – helps classify pixels to the objects they belong to.
Image analysis – helps extract information from the images, tag them, and create a descriptive image summary.
Face detection, analysis, and recognition – helps with detection, analysis, and recognition of the human faces.
Optical character recognition – helps detect and recognize text in images and documents.
Options A is correct. Anomaly Detection is one of the key elements of Artificial Intelligence, and it is not a feature of Computer vision.
Option C is correct. Automated machine learning is one of Machine Learning features and is not a feature of Computer vision.
Options E is correct. Text Analytics is a feature of Natural language processing and is not a feature of Computer vision.
All other options are Computer vision features.
Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.
