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COMPUTER VISION (CV)


        Computer Vision is a very popular field of AI that trains a computer to understand and  interpret the
        visual world. Human vision starts at the “eyes” but machine uses digital images from a camera for
        vision. Deep learning models and machines accurately identify and classify objects that act according
        to what they see, using digital images from camera.

        According to Fei-Fei Li, Computer Vision is defined as “a subset of mainstream artificial intelligence that
        deals with the science of making computers or machines visually enabled, i.e., they can analyse and
        understand an image.”


                 Factbot


          Developed by scientists at DAMO Academy, Alibaba's global research program, the Alibaba model scored
          0.54 in the MS Marco question-answering task, which evaluates a machine's ability to use natural language
          that topped the human score of 0.539.



        Applications of Computer Vision


        From recognising to processing the live action of a football game, Computer Vision challenges and
        surpasses human  visual  abilities  in  many areas. Let us  understand  some of  the  real-time uses  of
        Computer Vision.
        Self-driving cars use computer vision to examine their surroundings and plan their paths. Drones can
        use computer vision to examine the health of crops and alert the farmers of the crop's condition.
        In healthcare industry, computer vision can be used to check the patient's image and determine the
        ailment. Computer Vision is also used for security and surveillance.























                                                                                21 st
                 Double Tap                                                   Century   #Technology Literacy
                                                                               Skills

               Name any two domains of AI.

               1.                                                2.





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