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Exercise



                                                         Solved Questions


                                                  SECTION A (Objective Type Questions)
                       uiz

                 A.  Tick ( ) the correct option.
                    1. In which of the following images, the shades range starts with 0 and ends with 255?
                      a. Grayscale images                                b. RGB images
                      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
                      c. Monochrome                                      d. Colored

                    3. What does OpenCV stands for?
                      a. Open Computer Vision                            b. Open-Source Computer Vision
                      c. Open Compilation Version                        d. Open Computer Version
                    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
                      c. Localization                                    d. Classification

                    5. Which of the following is the most popular architecture used for image classification?
                      a. Neural Networks                                 b. Computer Vision
                      c. Data Sciences                                   d. Convolutional Neural Networks (CNNs)

                    6. Which of the following is not an application of CV?
                      a. Face filters                                    b. Damage analysis
                      c. Chatbots                                        d. Self driving cars
                    7. Which of the following is an example of image classification in CV?

                      a. Price prediction                                b. Photo albums in smartphones
                      c. Trend setting                                   d. Facelock in smartphone
                    8. Which layer reduces the dimensions of the input image while still retaining the important features?
                      a. Rectified Linear Unit                           b. CNN

                      c. Convolution Layer                               d. Pooling Layer
                    9.  Which of the following takes the features maps of the convolutional layer and generates the activation map by discarding
                      all the negative numbers of the feature maps?
                      a. Pooling layer                                   b. Rectified Linear Unit
                      c. Convolution Layer                               d. Feature Extractor layer
                    10. What are neural networks?

                      a. A series of Hidden Layers                       b. Made up of artificial neurons
                      c. Fully connected                                 d. All of the above


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