Practice Image Classification (1.1.1) - Computer Vision and Image Intelligence

Practice: Image Classification

Lesson 1.1.1Computer Vision and Image Intelligence

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11 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
5 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is image classification?
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Think about labeling other types of data.
Question 2.
Name one dataset commonly used for image classification.
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Consider resources available to machine learning practitioners.
3Question 3.
What is the main purpose of image classification?
- To improve image quality
- To assign labels to images
- To detect objects in images
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Consider the activities done in everyday applications of image recognition.
4Question 4.
True or False: Data augmentation increases the amount of required training data.
- True
- False
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Think about how augmentation modifies existing images.
Question 5.
Design a simple architecture for an image classification model using CNNs, detailing each layer's purpose.
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Think about the flow of data through different phases in CNN.
Question 6.
Discuss the potential drawbacks or limitations of using transfer learning.
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Consider the factors influencing model performance post-transfer.

7 more questions in this section. Enroll free to practise them all.