Page 275 - AI Ver 1.0 Class 10
P. 275

SECTION B (Subjective Type Questions)

                 A.  Short answer type questions:
                    1.  Differentiate between Max pooling and Average Pooling.

                   Ans.  There are two types of pooling:
                       •  Max Pooling: Max Pooling is the most commonly used method that selects the maximum value of the current image
                         view and helps preserve the maximum detected features.
                       •  Average Pooling: Average Pooling finds out the average value of the current image view and thus down samples the
                         feature map.

                    2.  Name the four important layers in CNN.
                   Ans.  The 4 layers in CNN are:
                       •  Convolutional Layer
                       •  Rectified linear Unit (ReLU)
                       •  Pooling Layer
                       •  Fully Connected Layer
                    3.  Name the real-life applications of Computer Vision.

                   Ans.  The real-life application of Computer Vision are:
                       •  Facial Recognition in Smartphones
                       •  Face Filters
                       •  Google Translate apps

                    4.  How does the computer see an image?
                   Ans.   In a digital image, every colored image that is stored can be split into 3 different channels, i.e., Red (R), Green (G) and
                       Blue (B), with different intensities. The computer identifies the value related to each pixel and determines the size and
                       color of the image.

                 B.  Long answer type questions:
                    1.  What are the uses of feature maps?
                   Ans.  Feature maps have multiple uses like:
                       •  The output of the filter applied to the previous layer is trapped by the feature map.
                       •  It helps in reducing the size of the image so that it can be processed easily.
                       •  It helps in focusing on the important features of the images like eyes, nose etc. so that it can be processed efficiently.

                    2.  Define Computer Vision? Which industry has got its maximum usage?
                   Ans.   It is a domain of Artificial Intelligence that enables computers to see, observe and understand digital images or data,
                       process them by acquiring, screening, analysing, identifying and extracting information using the machine learning and
                       neural network algorithms. It is ruling the industries like manufacturing, automobiles, power plants etc.
                    3.  Explain three important applications of Computer Vision?
                   Ans.  Three important application of Computer Vision are:
                       •  Image classification and object detection: Google’s search by images is an example of Computer Vision. The input
                         image compares different features with the image database and once it matches, gives us the search result.
                       •  Banking: Nowadays, to deposit a cheque you don’t have to go to bank. Click a picture of the cheque from your
                         phone of both the sides of the cheque.






                                                                                          Computer Vision   273
   270   271   272   273   274   275   276   277   278   279   280