Discover how object detection in computer vision, exemplified by returning a bounding box indicating the precise location of a vehicle in an image, plays a crucial role in image analysis. Learn about its significance, applications, and benefits in this comprehensive guide.
Table of Contents
Question
Returning a bounding box that indicates the location of a vehicle in an image is an example of __________.
A. image classification
B. object detection
C. optical character recognizer (OCR)
D. semantic segmentation
Answer
B. object detection
Explanation
The correct answer is B. object detection.
Object detection is the task of locating and identifying objects in an image, usually by returning a bounding box that indicates the location of each object and a label that indicates the class of each object.
Object detection can be used for applications such as face detection, vehicle detection, pedestrian detection, etc. Image classification, on the other hand, is the task of assigning a single label to an image, based on the dominant object or scene in the image.
Optical character recognizer (OCR) is the task of extracting text from an image, usually by returning a bounding box and a text string for each word or character in the image.
Semantic segmentation is the task of assigning a label to each pixel in an image, based on the object or region that the pixel belongs to.
Semantic segmentation can be used for applications such as scene understanding, medical image analysis, autonomous driving, etc.
Reference
Microsoft Learn > Azure > Cognitive Services > Computer Vision > Object detection
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