Page 327 - AI Ver 3.0 class 10_Flipbook
P. 327

6.  How is resolution typically expressed?                                            [CBSE Handbook]
                       a.  By the number of pixels along the width and height, such as 1280x1024

                       b.  By the brightness level of each pixel, ranging from 0 to 255
                       c.  By the total number of pixels, such as 5 megapixels
                       d.  By the arrangement of pixels in a 2-dimensional grid

                 B.  Fill in the blanks.

                    1.   A ………………………. algorithm takes an image as input and outputs a collection of regions (or segments).
                    2.  In the Google Translate app, ………………………. technology helps translate text by recognising words in images.

                    3.  A pixel value of [0, 0, 255] means maximum ………………………. intensity.
                    4.  ………………………. is the process of  division of an image into smaller objects so that the machine can identify an object
                       from the background.
                    5.  Facial recognition in smart homes helps ensure ………………………. by allowing only trusted individuals to enter.

                 C.  State whether these statements are true or false.

                    1.  Computer Vision is limited to image processing and cannot perform tasks like object recognition.   ……….……
                    2.  Machine learning algorithms are not used in Computer Vision.                              ……….……

                    3.  Retailers use Computer Vision to track customer behaviour and optimise inventory management.   ……….……
                    4.  Colour of a pixel is determined by the number of colours it represents.                   ……….……

                    5.  Modern apps like Instagram and Snapchat heavily rely on Computer Vision to offer fun and interactive
                       features.                                                                                  ……….……

                                                  SECTION B (Subjective Type Questions)

                 A.  Short answer type questions.
                    1.  How an RGB image is different from a grayscale image?                             [CBSE Handbook]

                    2.  What do you mean by Instance Segmentation?
                    3.  What is a Pixel? Give any two important features of a Pixel in a digital image.
                    4.  What is the use of Google Translate app?
                    5.  Give two uses of Computer Vision in medical imaging?

                 B.  Long answer type questions.

                    1.  Explain the task used in Computer Vision applications for multiple objects.
                    2.  How Computer Vision plays a key role in retail stores?

                    3.  What is a Computer Vision task for a single object?
                    4.  Enlist two smartphone apps that utilise Computer Vision technology? How have these apps improved your efficiency
                       or convenience in daily tasks?                                                     [CBSE Handbook]

                    5.  What do you mean by RGB images?








                                                                                     Computer Vision (Theory)   325
   322   323   324   325   326   327   328   329   330   331   332