Page 272 - Ai Book - 10

2. Assertion: Object detection combines object localization and object classification.

Reason: Object detection algorithms identify instances of objects by extracting features and classifying
them.

a. Both Assertion and Reason are true, and Reason is the correct explanation of Assertion.
b. Both Assertion and Reason are true, but Reason is not the correct explanation of Assertion.
c. Assertion is true, but Reason is false.

d. Both Assertion and Reason are false.
3. Assertion: Convolution is a critical building block in computer vision and image processing.
Reason: Convolution involves element-wise multiplication of image arrays and a kernel, followed by
summing up the results.

a. Both Assertion and Reason are true, and Reason is the correct explanation of Assertion.
b. Both Assertion and Reason are true, but Reason is not the correct explanation of Assertion.
c. Assertion is true, but Reason is false.
d. Both Assertion and Reason are false.

Answers

1. (a) 2. (a) 3. (a)

AI Assessment Zone

A. Tick () the correct answer.
1. Which task in Computer Vision involves both object localization and object classification?

a. Image classification b. Object Recognition
c. Object Detection d. Semantic Segmentation

2. What is the main purpose of Google Translate’s camera feature?
a. Take pictures b. Play videos

c. Translate text from images d. Scan barcodes
3. What term is used to describe a wide variety of techniques creating visualizations of the body’s interiors
in medical imaging?

a. Spatial resolution b. Temporal resolution
c. Medical imaging d. Spectral resolution

4. What is the primary role of facial recognition software in law enforcement?
a. Applying facial filters b. Image tagging

c. Verification d. Recognition
5. In digital documentation, what does OCR help in extracting information from?

a. PDFs only b. Images only
c. Digitized documents and PDFs d. Text files only

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