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?
CV studio
A detector
A Sliding window
A classifier
Answer: A classifier
Q2. The following image with the bounding box is an example of
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?
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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