Balinese Carving Recognition using Pre-Trained Convolutional Neural Network
作者： I Wayan Agus Surya Darma , Nanik Suciati , Daniel Siahaan
DOI: 10.1109/ICICOS51170.2020.9299021
关键词:
摘要: The preservation of Balinese carvings in traditional buildings is needed to preserve by collecting carving data. data collection an attempt save important patterns become a reference for repair that are beginning erode age. recognition the first step cultural heritage motifs on sacred buildings. In this study, we compare performance Convolutional Neural Network pre-trained models recognition. We use transfer learning using four models, i.e., MobileNet, Inception-v3, VGG16, and VGG19, train model. model training process, fine-tuned number parameters trained each produce best performing Based eight experimental scenarios, VGG19 can with accuracy 87.50%.
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