Computer Vision

Computer Vision

Unlock the secrets of visual AI. From basic pixel manipulation to advanced Deep Learning models like YOLO and ResNet, test your CV skills with our 75+ MCQ challenge.


  1. The smallest unit of a digital image is called:

    • Bit
    • Pixel
    • Voxel
    • Element
  2. Which color space is primarily used for digital displays?

    • CMYK
    • RGB
    • HSV
    • LAB
  3. An 8-bit grayscale image has how many intensity levels?

    • 2
    • 100
    • 256
    • 1024
  4. What does RGB stand for?

    • Red Green Blue
    • Real Glossy Black
    • Red Gold Brown
    • Radial Grey Beam
  5. The process of reducing detail in an image is known as:

    • Sharpening
    • Blurring/Smoothing
    • Equalization
    • Contrast
  6. The Canny edge detector uses which technique to remove weak edges?

    • Averaging
    • Non-maximum suppression
    • Histogram stretching
    • Blurring
  7. Harris Corner Detector identifies corners by looking for:

    • Color changes
    • Large intensity changes in all directions
    • Straight lines
    • Circle centers
  8. Morphological 'Dilation' generally results in:

    • Thinner objects
    • Thicker/Expanded objects
    • Blurry edges
    • Smaller file size
  9. Erosion' followed by 'Dilation' is a morphological operation called:

    • Closing
    • Opening
    • Smoothing
    • Thinning
  10. What does the 'Hough Transform' detect in an image?

    • Colors
    • Shapes like lines and circles
    • File metadata
    • Brightness
  11. What is the main advantage of Convolutional Neural Networks (CNNs) for CV?

    • They are very small
    • They automatically learn spatial hierarchies of features
    • They don't need data
    • They only work on text
  12. In a CNN, the 'Pooling' layer is used to:

    • Increase image size
    • Reduce spatial dimensions/parameters
    • Change colors
    • Add noise
  13. Which object detection model is known for 'You Only Look Once'?

    • R-CNN
    • YOLO
    • SSD
    • AlexNet
  14. Semantic Segmentation' assigns a label to:

    • The whole image
    • Every individual pixel
    • Only the center of objects
    • The file name
  15. What is the purpose of 'Transfer Learning'?

    • Moving files between computers
    • Using a pre-trained model on a new, related task
    • Deleting old models
    • Learning to code