NEW
Font size
WorksheetsComputer Vision – Image Classification (Day 3 - Test 1)
Total questions: 10
Worksheet time: 5mins
What is the primary goal of image classification in computer vision?
Enhance image resolution
Label an image with a specific category
Compress the image
Convert image to grayscale
Which of the following is a popular dataset used for benchmarking image classification models?
MNIST
CIFAR-10
COCO Caption
UCI Heart Disease
What is the role of a Convolutional Neural Network (CNN) in image classification?
Generate random features
Flatten images into single vectors
Extract hierarchical features from images
Perform natural language processing
In a CNN, what does the pooling layer typically do?
Increases image size
Converts image to binary
Normalizes pixel values
Reduces spatial dimensions
What type of activation function is commonly used in image classification tasks within CNNs?
Sigmoid
ReLU
Softmax
Tanh
What does the Softmax function do in the output layer of an image classification model?
Converts outputs into probabilities
Reduces overfitting
Normalizes input values
Enhances image contrast
Which loss function is commonly used for multi-class image classification?
Hinge Loss
Mean Absolute Error (MAE)
Binary Cross-Entropy
Categorical Cross-Entropy
Which technique can help reduce overfitting in image classification models?
Increasing the learning rate
Removing dropout layers
Data augmentation
Reducing dataset size
What does transfer learning involve in image classification?
Sharing weights between neurons in the same layer
Using pre-trained models for new tasks
Increasing the model depth
Transforming color spaces
Why is image normalization important before training an image classification model?
To remove the color from the image
To increase the size of the dataset
To ensure all pixel values are on a similar scale
To convert images into grayscale
