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u   Natural Language Processing (NLP)
             The field of AI that focuses on the interaction between computers and human language, enabling machines
             to understand, interpret, and generate human-like text. ChatBots that can understand and respond to user
             queries in natural language.



                                                     In a Nutshell
                                                     In a Nutshell

            •  An image is made up of a hundred numbers of pixels and the number of pixels available in an image is
             sometimes called the resolution.
            •  Three different channels called the R channel, G channel and the B channel are used to store an image in a
             computer.
            •  You can save digital images  in the form of grayscale (black and white) colour because they contain grayscale
             information like each pixel has a luminance value, regardless of its colour.
            •  The term “RGB” stands for Red, Green and Blue colour and it refers to three hues of light that can be mixed
             together to create different colours. An RGB image is also known as a true colour image.
            •  The three steps included in an image processing technique are: importing the image via image acquisition
             tools; analysing and manipulating the image; Output in which result can be altered image or report that is
             based on image analysis.
            •  OpenCV, an open source tool developed by Intel has a cross-platform library through which you can develop
             real-time computer vision applications.
            •  Cropping, a technical term, refers to a process of cutting off a portion of an image to improve framing, put
             emphasis on the particular area, or change the aspect ratio.
            •  Convolution  Neural  network  is  also  a  neural  network  which  serves  as  a  powerful  technology  in  many
             computer vision applications.
            •  The primary difference between CNN and any other ordinary neural network is that CNN takes input as a
             two-dimensional array and operates directly on the images rather than focusing on feature extraction.
            •  Integrating object localization and classification, identifying and locating various items within an image.
             Recognizing and pinpointing different products on a store shelf.
            •  Assigning a label or category to an input image based on its content. Classifying images of fruits as apples,
             oranges, or bananas.
            •  Basic  elements  and  properties  of  digital  images,  including  pixels,  resolution,  and  storage  procedures.
             Understanding how images are constructed, with pixels forming the smallest units.




                                                  S Solvedolved  QQuestionsuestions


        A.  Tick () the correct answer.
            1.  Which of the following is a practical application of Computer Vision in healthcare?

                a.  Social media filters                           b.  Autonomous cars
                c.  Medical imaging                                d.  Image tagging






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