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Creating a scale of object recognition complexity using images of a given class
(2020) Mochurad, L. I.; Potokii, M. S.
The paper analyzes the complexity of object recognition depending on noise type and noise intensity value. Information system is using the data given from the user during using of the application. The should take tests on object recognition with the noise type and intensity previously set. The analysis is performed with the accumulated information from several tests. The result of the work is useful for evaluation of errors in areas where analyzing images is performed by humans. The results of the research allow to evaluate the error magnitude and the accuracy of conclusions provided by humans as a result of their activity.