Cultural Events Classification using Hyper-parameter Optimization of Deep Learning Technique

Abstract: Through digitization, maintaining and promoting cultural heritage is being strengthened. Concerning this background, this study presents a new Indonesia cultural events dataset and automatic image classification for cultural events. The dataset was developed using the Flickr image platform, and the five cultural events image was collected including the Baliem Festival, Jember Fashion Festival, Nyepi Festival, Pacu Jawi, and Pasola Festival. Further, Convolutional Neural Networks (CNN) was developed for the classification method. A comparison of CNN models (VGG16 and VGG19) using several optimization configurations was performed to get the best model. The results showed that the VGG16 with image augmentation and dropout regularization technique performed best with 94.66% accuracy. This study hoped to support the heritage's digital documentation process and preserve Indonesia's cultural heritage.

• Image Source: The Flickr images under Attribution-Noncommercial License
• Dataset Source: Indonesia Cultural Events Dataset
• Paper Source: Link
• The dataset consisted of 1,500 images and was divided into 300 images in each class.
• Citation: Zhipeng, F., & Gani, H. (2021). Cultural Events Classification using Hyper-parameter Optimization of Deep Learning Technique. International Journal of Advanced Computer Science and Applications, 12(5). [APA Style]