Rigorous Computer Vision Test - 79+ MCQs: Computer Vision test: Evaluate Your Knowledge with Vision Processing Questions and Answers

1. Which optimization technique is commonly used for training deep neural networks?

Genetic algorithms

Simulated annealing

Gradient descent

Ant colony optimization

2. Which technique is commonly used for image colorization?

Principal component analysis (PCA)

Adversarial training

Conditional generative models

K-means clustering

4. What is the primary goal of the COCO (Common Objects in Context) dataset?

Image classification

Object detection and segmentation

Facial recognition

Natural language processing

5. Which method is commonly used for image forgery detection?

Feature matching

Blockchain technology

Steganalysis

Transfer learning

6. In computer vision, what is the purpose of a convolutional layer in a neural network?

Pooling feature maps

Applying filters to input

Adjusting learning rate

Initializing weights

7. Which deep learning framework is commonly used for computer vision tasks?

TensorFlow

PyTorch

Keras

Scikit-learn

8. What is the main purpose of image preprocessing in computer vision?

Enhancing image quality

Increasing image resolution

Adding noise to images

Changing image colors

9. In the context of deep learning, what is the significance of the vanishing gradient problem?

Overfitting during training

Difficulty in weight initialization

Learning rate instability

Difficulty in propagating gradients through deep networks

10. What is the purpose of the softmax activation function in neural networks?

Binary classification

Multiclass classification

Regression tasks

Gradient descent optimization

Computer Vision MCQ Test 5