Discover how image retrieval in Computer Vision transforms mobile product searches by analyzing captured images, offering a seamless shopping experience based on visual matches.
Table of Contents
Question
You install a Visual product search application on your mobile. The application searches products based on the images that you capture by mobile camera.
What Computer Vision common task this application uses for the product search?
A. Object detection
B. Semantic segmentation
C. Image classification
D. Face detection
E. Image Analysis
Answer
C. Image classification
Explanation
You use your camera to capture a picture of the product. An application identifies this product utilizing the Image classification model and submits it for a search.
The Image classification model helps to classify images based on their content.
Object detection is incorrect because the Object detection model helps to identify objects and their boundaries within the image.
Semantic segmentation is incorrect because the Semantic segmentation model helps classify pixels to the objects they belong to.
Face detection is incorrect because Face detection is a Computer vision technique that helps detect and recognize people’s faces.
Image Analysis is incorrect because Image Analysis helps extract information from the images, tag them, and create a descriptive image summary.
You use your camera to capture a picture of the product. An application identifies this product utilizing the Image classification model and submits it for a search.
The Image classification model helps to classify images based on their content.
Option A is incorrect because the Object detection model helps to identify objects and their boundaries within the image.
Options B is incorrect because the Semantic segmentation model helps classify pixels to the objects they belong to.
Option D is incorrect because the Face detection is a Computer vision technique that helps detect and recognize people’s faces.
Options E is incorrect because the Image Analysis helps extract information from the images, tag them, and create a descriptive image summary.
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