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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 captured by
                  cameras  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.”



                                                               Tech Fact

                     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 its path. Drones can
                  use computer vision to examine the health of crops and alert farmers about 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.
























                                    What if you could map the cultural landscapes of diverse societies using AI tools?
                                    How would you use NLP, Data analysis and CV for it?




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