AI-900: How to use object detection to locate cars in an image

Learn how to use object detection, a computer vision service that can identify and locate multiple objects in an image, to estimate the distance between cars.

Question

You’re working on an Al application that needs to determine the location of cars in an image so that it can estimate the distance between the cars. Which computer vision service should you use?

A. Semantic segmentation
B. Image classification
C. Object detection
D. Facial recognition

Answer

C. Object detection

Explanation

Object detection is a form of machine learning based computer vision in which a model is trained to recognize individual types of object in an image, and to identify their location in the image.

The correct answer is C. Object detection. This is because object detection is a computer vision service that can identify and locate multiple objects in an image, and provide bounding boxes with coordinates for each object. Semantic segmentation, on the other hand, is a computer vision service that can assign a label to every pixel in an image, and create a mask for each object. Image classification is a computer vision service that can assign a label to an image based on its content, but it cannot locate the objects within the image. Facial recognition is a computer vision service that can identify and verify human faces in an image, but it cannot detect other types of objects.

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