Computer Vision Assessment Test

Q1 What is the smallest unit of an image?

1 sq. mm

DPI

Pixel

None of the above

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

Image Cropping

Image Resizing

Image Skewing

None of the above

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

Yellow-Red-Green

Blue-White-Green

Red-Yellow-White

Green-Red-Blue

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?

a = (9, 2) and b = (16, 9)

a = (2, 9) and b = (9, 21)

a = (9, 21) and b = (9, 1.5)

a = (9, 21) and b = (16, 1.5)

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

F1 score

AUC-ROC score

All of the above

None of the above

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

It is a regression problem

It is a classification problem

It is a clustering problem

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?

Image rotation

Change colours of the image

Change contrast and brightness

All of the above

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

Logistic Regression

Support Vector Machine

Decision Tree

All of the above

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?

Image 1

Image 2

Image 3

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Computer Vision Assessment Test

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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.
GOOD LUCK!