Final_Exam.txt

1. What is a neural network?

    (a) A type of computer program that learns and improves from data, inspired by the structure and function of the human brain. 
    (b) A computer chip specifically designed for high-performance graphical processing.  
    (c) A network cable used to connect computers to a local area network.  
    (d) A software program used to browse the internet.  

2. What is NOT a pre-processing step in a computer vision pipeline?

    (a) Grayscale conversion (converting color images to black and white)  
    (b) Noise reduction (removing unwanted artifacts from images)  
    (c) Feature extraction (identifying key characteristics within an image)  
    (d) Data augmentation (artificially creating more training data)

3. What is thresholding (image processing)?

    (a) A technique to blur an image for artistic effects.  
    (b) A method to segment an image by classifying pixels based on an intensity threshold.
    (c) A process to adjust the brightness and contrast of an image.  
    (d) A technique to compress an image for efficient storage.  
    
4. What is the different between object detection and object classification in computer vision ?  

5. Write pseudocode to draw 100 pixels by 100 pixels square in 500 pixels by 500 pixels canvas.

6. Write Json object that contains 3 set of image label, percentage and bounding box.