Page 272 - AI Ver 1.0 Class 10
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Exercise

                               Brainy Fact
                                                                                                                                                                                     Solved Questions
                      The first image recognition CNN-AlexNet named after(creator-Alex Krizhevsky), won the 2012 ImageNet
                      computer vision contest with 85% accuracy.                                                                                                             SECTION A (Objective Type Questions)
                                                                                                                                                  uiz

              Testing CNN                                                                                                                   A.  Tick ( ) the correct option.
              Go to the link http://scs.ryerson.ca/~aharley/vis/conv/flat.html to see how a number written by you is identified                 1. In which of the following images, the shades range starts with 0 and ends with 255?
              based on the classification done by Convolutional Neural Network.This will help you analyse how different layers                    a. Grayscale images                                b. RGB images
              actually work in coordination efficiently and it is practically implemented in the real world.                                      c. Black and white images                          d. High resolution images

                                                                                                                                                2. Which among the following images around us are made up of 3 primary colors of Red, Green and Blue?
                                                                                                                                                  a. Moving                                          b. Static
                         Video Session
                                                                                                                                                  c. Monochrome                                      d. Colored
                   Watch this video,
                                                                                                                                                3. What does OpenCV stands for?
                   Visit https://www.youtube.com/watch?v=YRhxdVk_sIs or scan the QR code and answer                                               a. Open Computer Vision                            b. Open-Source Computer Vision
                   the given question.
                                                                                                                                                  c. Open Compilation Version                        d. Open Computer Version
                   What do you understand by CNN?
                                                                                                                                                4.  Which  of  the  following  is  commonly  used  in  applications  such  as  image  retrieval  and  automated  vehicle
                                                                                                                                                  parking systems?
                                                                                                                                                  a. Instance Segmentation                           b. Object detection
                        At a Glance                                                                                                               c. Localization                                    d. Classification

                                                                                                                                                5. Which of the following is the most popular architecture used for image classification?
                     • Computer Vision means giving the ability to the computer to see the world just like humans.                                a. Neural Networks                                 b. Computer Vision
                     • The Computer Vision applications are based on a certain number of tasks performed on an input image to get the
                    desired output which can be used to do predictions or analysis of data.                                                       c. Data Sciences                                   d. Convolutional Neural Networks (CNNs)
                     • Pixel stands for “Picture Element”. It is the smallest unit of information in a digital image.                           6. Which of the following is not an application of CV?
                     • An image is a visual representation of any object. The term ‘image’ means a picture that has been created or stored        a. Face filters                                    b. Damage analysis
                    in electronic form.
                     • Every colored image that is stored can be split into 3 different channels, i.e., Red (R), Green (G) and Blue (B), with     c. Chatbots                                        d. Self driving cars
                    different intensities.                                                                                                      7. Which of the following is an example of image classification in CV?
                     • In computer vision an image feature is simply a piece of information about the content of an image. It can be an
                    edge, corners, start point or end point that can be taken.                                                                    a. Price prediction                                b. Photo albums in smartphones
                     • OpenCV  stands  for  Open-Source  Computer  Vision  Library,  originally  developed  by  Intel  and  officially  launched   c. Trend setting                                  d. Facelock in smartphone
                    in 1999. It is an open-source software library for computer vision and machine learning that helps a computer               8. Which layer reduces the dimensions of the input image while still retaining the important features?
                    understand the content of digital images like photographs and videos.
                     • The imread() function read the image and loads it into the computer’s memory.                                              a. Rectified Linear Unit                           b. CNN
                     • Resizing means increasing or decreasing the size of the image in the given frame.It can be done by using resize()          c. Convolution Layer                               d. Pooling Layer
                    function.
                     • Convolution is defined as a simple Mathematical operation that multiplies two numeric arrays of the same dimensions      9.  Which of the following takes the features maps of the convolutional layer and generates the activation map by discarding
                    but different sizes to produce a third numeric array of the same dimensions.                                                  all the negative numbers of the feature maps?
                     • Kernel is also known as a convolution matrix or mask that will help you in image processing by creating a wide range       a. Pooling layer                                   b. Rectified Linear Unit
                    of effects like sharp, blur, masking etc.                                                                                     c. Convolution Layer                               d. Feature Extractor layer
                     • Neural Networks are a series of algorithms used to recognise hidden patterns in raw data, cluster and classify it, and
                    continuously learn and improve.                                                                                            10. What are neural networks?
                     • Convolutional Neural Network is a type of an Artificial Neural Network and is made up of neurons that help in image        a. A series of Hidden Layers                       b. Made up of artificial neurons
                    recognition and image processing.                                                                                             c. Fully connected                                 d. All of the above



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