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4. Each convolutional kernel is used to generate a ………………………. map based on input provided.
                      a. road                                            b. kernel
                      c. activation                                      d. pooling

                    5. Which of the following reads the image and loads it into the computer’s memory in OpenCV?
                      a. loadimage()                                     b. imread()
                      c. image()                                         d. readimage()

                 B.  Fill in the blanks.

                    1.  ………………………. means giving the ability to the computer to see the world just like humans.

                    2.  Computers can make ………………………. about images without any human assistance.
                    3.  ………………………. is the process of finding out the class/category of the input image.

                    4.  ………………………. is the process of division of an image into smaller objects so that the machine can identify an object
                       from the background.

                    5.  ………………………. is the smallest unit of information in a digital image.
                    6.  ………………………. features help to identify the images and for analysis purposes.

                    7.  Google’s search by images is an example of ………………………. .

                    8.  ………………………. function is used for converting from BGR to RGB.

                    9.  Expand ROI ………………………. .
                    10.  ………………………. function is used to increase or decrease the size of the image in the given frame.

                    11.  ………………………. are trained to identify and extract the best features from the images.

                    12.  Convolutional neural network is made up of multiple layers of ………………………. .
                    13.  ………………………. are a series of algorithms used to recognise hidden patterns in raw data, cluster and classify it, and
                       continuously learn and improve.

                    14.  A  Neural  Network  is  divided  into  multiple  layers  and  each  layer  is  further  divided  into  several  blocks  called
                       ………………………. .

                    15.  The output at each node of the neural network is called its ………………………. or node value.

                 C.  State whether these statements are true or false.

                    1.  The process layer of Neural Networks predicts our final output.                           ……….……
                    2.  Image Feature is a piece of information about the content of the image.                   ……….……

                    3.  Colour of a pixel is determined by the number of colors it represents.                    ……….……

                    4.  Cropping means reducing the size of the image.                                            ……….……

                    5.  Augmented Reality is an example of real-life application of CV.                           ……….……
                    6.  Another name for Kernel is convolution matrix or mask.                                    ……….……

                    7.  In Convolution process we extend the edge values out by two in the input image.           ……….……




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