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Computer Vision Assessment Test

This test comprises of 10 Questions and you stand a chance to avail upto 20% discount on Computer Vision using Deep Learning 2.0 Course basis your assessment score.
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Q1 What is the smallest unit of an image?

Q2 How can we change the resolution of an image from 1280 x 720 pixel to 720 x 480 pixel?

Q3 Which of the following combination of colours can be used to represent almost any colour in electronic systems?

Q4 Select the pixel matrix that is the correct representation of the following black and white image. (Pixel value can range from 0 to 255)

Q5 Given below is an image of a dog surrounded by a bounding box. What are the coordinates of the points a and b in the image?

Q6 Which evaluation metric can be used to solve an image classification problem?

Q7 Facial Keypoint Detection is used in computer vision to detect key points on a human face. What is the nature of this task?

Q8 Working on computer vision problems require huge amount of image data. However, when we  have insufficient data, we use image augmentation to create more images from the existing images.
Which of the following methods can be used to perform image augmentation?

 

Q9 Which machine learning algorithm can be used to perform image classification task?

Q10 The task of image classification is performed by extracting features from the images and feeding them to a predictive model.

Let’s say you are working on an image classification task and you want to predict whether an image contains a car or not. Now from the three images below, which will require the least amount of computation for feature extraction?

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