
Computer Vision & OpenCV-Python
Authored by Tang Shuen
Computers
7th - 12th Grade
Used 19+ times

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10 questions
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1.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
What is the purpose of Computer Vision?
Trains computers to understand human language
Trains computers to identify objects visually like a human
Trains computers as a substitute for human eyes
Trains computers to understand human emotion
2.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Which of the following is NOT the possible applications of Computer Vision?
Detect the edges of an object
Interpret typed or handwritten text
Identify the sentiment of a sentence
Facial recognition
3.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
The first step in the Computer Vision process involves acquiring an image. Which of the following is NOT the possible source of images?
Human eyes
Videos
Photos
3D Technology
4.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
The second step in the Computer Vision process involves processing the images and train the model. Which of the following tasks is NOT part of this step?
Convert the images to a suitable representation
Evaluate the model's accuracy
Select the suitable Deep Learning algorithm
Fit the model with relevant images and their labels
5.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
The third step of Computer Vision involves testing whether the trained model is able to identify the objects. Why is this step important?
To ensure the model is able to run
To ensure the model is able to identify the objects
To allow the model to learn about the objects
To ensure the model is able to identify the objects accurately
6.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
OpenCV-Python is a Python library that is based on OpenCV. What are the usages of OpenCV-Python? (Select 2 options.)
Sentiment analysis
Image processing
Object detection
Text classification
7.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
What is the function in OpenCV-Python that allows one to read images from a source?
cv2.imshow("Label", 'some_sources')
cv2.VideoCapture('some_sources')
cv2.imread('some_sources')
cv2.imread()
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