Classification of doll image dataset based on human experts and computational methods: A comparative analysis

In this paper, we analyze the important features for the difficult dataset to classify, comparing the process between human experts and computational method in order to built useful application on specific domain utilizing only computational techniques at practical level. To achieve this, “Doll” images dataset were constructed and the features were described in detail. After that, two types of experiments were carried out between human beginner participants and computational method. As a results, we obtained typical features of this dataset and discussed for applying the method to similar domains. In addition, the results suggest that it is efficient for classifying such a dataset to combine human experts knowledge and computational way.