Microsoft Azure AI Fundamentals (AI-900)Describe features of computer vision workloads on AzureEasy
A company is developing an application that needs to automatically identify and categorize various objects within images uploaded by users. For example, it should be able to distinguish between a 'car', a 'bicycle', and a 'person' in a photograph. Which computer vision capability is most suitable for this task?
- AImage Classification
- BFace Detection
- CObject Detection
- DOptical Character Recognition (OCR)
Show answer & explanationAnswer & explanation
Correct answer: C. Object Detection
Object Detection is the most suitable capability because it not only identifies what objects are present in an image but also provides their location, which is crucial for categorizing multiple distinct objects within the same image.
Why the other options are wrong
- A. Image Classification assigns a single label to an entire image, not individual objects within it.
- B. Face Detection is a specialized form of object detection focused solely on human faces.
- D. OCR focuses on extracting text from images, not identifying general objects.
Object Detection
A computer vision technique that identifies and locates multiple objects within an image or video.
- Draws bounding boxes around detected objects.
- Assigns a class label to each detected object.
- Useful for counting, tracking, and spatial analysis.
Memory trick: Vision sees, detects, and classifies what's there.