Rigorous Computer Vision Test - 78+ MCQs: Computer Vision test: Evaluate Your Knowledge with Vision Processing Questions and Answers

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

Enhancing image quality

Increasing image resolution

Adding noise to images

Changing image colors

2. What is the purpose of max pooling in convolutional neural networks?

Reducing spatial dimensions

Increasing model complexity

Introducing skip connections

Balancing training data

3. In computer vision, what does the acronym OCR stand for?

Object Categorization and Recognition

Optical Character Recognition

Object Classification and Retrieval

Output Color Rendering

4. In the context of image enhancement, what is the purpose of the Laplacian pyramid?

Edge detection

Contrast adjustment

Spatial filtering

Color space transformation

5. Which metric is commonly used for evaluating image classification models?

Jaccard Index

Mean Squared Error

Receiver Operating Characteristic (ROC) curve

Top-1 accuracy

6. Which term refers to the process of converting continuous image values into discrete levels?

Image quantization

Image filtering

Image convolution

Image normalization

7. What is the purpose of the SIFT (Scale-Invariant Feature Transform) algorithm in computer vision?

Object detection

Image segmentation

Feature matching

Image smoothing

8. What is the purpose of non-maximum suppression in object detection algorithms?

Increasing false positives

Removing redundant bounding boxes

Introducing noise in predictions

Randomizing object coordinates

9. What is the primary goal of the KLT (Kanade-Lucas-Tomasi) feature tracker?

Object recognition

Camera calibration

Image segmentation

Feature point tracking

10. What is the purpose of the Mean-Shift algorithm in image segmentation?

Object tracking

Edge detection

Texture mapping

Histogram-based clustering

Computer Vision MCQ Test 5