Image Classification Quiz

Quiz covering Computer Vision Concepts

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   What is the primary goal of an image classification task in computer vision?

2. 2

   When training an image classification model, why is it important to normalize pixel values (e.g., scaling them to a range of 0 to 1)?

3. 3

   If a model achieves 99% accuracy on the training set but only 60% on the validation set, what is the most likely issue?

4. 4

   In the context of a Convolutional Neural Network (CNN), what is the function of the pooling layer?

5. 5

   You are building an image classifier for a dataset where 'cat' images make up 95% of the data and 'dog' images make up 5%. Which evaluation metric is most misleading in this scenario?