Introduction to Computer Vision and Image Processing Week 5

Course Name: Introduction to Computer Vision and Image Processing

Course Link: Introduction to Computer Vision and Image Processing

These are answers of Introduction to Computer Vision and Image Processing Week 5 Quiz


Practice Assessment

Q1. P. Viola and M. Jones based the idea of the Cascade classifier on which of the following?
Deep Learning
Haar Wavelet Sequence
Sliding window sequence
Image feature extraction

Answer: Haar Wavelet Sequence


Q2. Which of these are a problem of sliding windows? Select all that apply
Aspect Ratio
Object sizes
Overlapping objects
Grayscale image

Answer: Aspect Ratio, Object sizes, Overlapping objects


These are answers of Introduction to Computer Vision and Image Processing Week 5 Quiz


Graded Quiz

Q1. If we wanted to identify the cat in the image below, what kind of algorithm will we be working with?

image 1

CV studio
A detector
A Sliding window
A classifier

Answer: A classifier


Q2. The following image with the bounding box is an example of

image 2

Classification+Localization
Filtering
Classification
Object detection

Answer: Object detection


These are answers of Introduction to Computer Vision and Image Processing Week 5 Quiz


Q3. When we are dealing with object detection, there are many different classifiers that we can use. Which of the following classifiers is trained on a large number of images that include the object we are trying to detect as well as images that do not contain the object we are trying to detect?
Cascade Classifiers
Sliding window Classifiers
Viola Classifiers
Integral classifiers

Answer: Cascade Classifiers


Q4. Consider the actual bounding box in red and the predicted bounding box in blue. What loss would you use to determine the performance of your model’s output?

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image 3

It saves it for a different algorithm
Cross-entropy loss
Classification loss
Squared loss

Answer: Squared loss


Q5. In object detection, the score:
gives you the probability of each class
is the confidence of the model prediction
is the bounding box region
saves it for a different algorithm

Answer: is the confidence of the model prediction


These are answers of Introduction to Computer Vision and Image Processing Week 5 Quiz


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These are answers of Introduction to Computer Vision and Image Processing Week 5 Quiz