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4. Megha was studying about pooling layers used in a CNN. In max pooling, what value is selected from a
given window?

a. The minimum value in the window b. The maximum value in the window
c. The average of all values in the window d. The sum of all values in the window

Case Study Based Questions

1. A hospital wants to automate X-ray analysis for early detection of pneumonia. A deep learning model
based on CNNs is trained on a dataset of chest X-rays labeled as normal or pneumonia-infected. The
system provides doctors with a confidence score for each prediction.

a. Why are CNNs well-suited for analysing medical images like X-rays?
b. What challenge might arise if the model is trained only on a dataset from one hospital?

2. A retail store owner wants to analyse customer behaviour using security cameras. They use a no-code
AI tool like Orange Data Mining to track foot traffic, customer demographics, and time spent in different
aisles. Answer the following questions based on the information given.
a. What customer behaviour insights can the store owner gain from using computer vision-based
analyti cs?
b. What are the benefi ts of using a no-code AI tool like Orange for this task?

3. A wildlife research team installs hidden cameras in a forest to monitor rare animal species. They train a
Computer Vision based model to automatically classify animals based on camera footage. The system
helps track population trends and detect poaching activity. Based on the information given, answer the
questions:
a. What type of deep learning algorithm would be used in the model?

b. How can CNNs help in wildlife conservati on through image classifi cati on?
c. What are some challenges in training a CNN for wildlife detecti on?

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