Abstract
In recent years, there has been a steady increase in the use of photos in Japanese childcare facilities to provide parents with growth records such as newsletters and photo albums. We have been developing a photo sharing system for childcare facilities that is used for the daily training of childcare workers, thereby improving the quality of childcare and childcare education. However, sorting and organizing the photos into newsletters, albums, and other growth records for each child, from among the large number of photos taken in childcare facilities, is an extensively time-consuming task. To address this problem, we have considered applying existing automatic photo classification tools for organizing photos. In this paper, we report the evaluation results of the performance of two major photo classification tools applied to 1,900 photos posted to the photo sharing system. Experimental results indicate that the existing tools had very low classification accuracy for children’s photos compared to those of adults and took a long time to classify many photos. Based on these results, we will propose a work procedure to efficiently organize photos.
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Yamaga, T., Inoue, T., Uemura, H., Otoyama, W., Sasaki, J. (2021). Applying Method of Automatic Classification Tools to Make Effective Organizing of Photos Taken in Childcare Facilities. In: Fujita, H., Selamat, A., Lin, J.CW., Ali, M. (eds) Advances and Trends in Artificial Intelligence. From Theory to Practice. IEA/AIE 2021. Lecture Notes in Computer Science(), vol 12799. Springer, Cham. https://doi.org/10.1007/978-3-030-79463-7_14
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