A Lightweight Convolutional Neural Network for Batik Motif Classification on Mobile Devices
Keywords:
deep learning, batik, image classification, mobileAbstract
Background: A Lightweight Convolutional Neural Network for Batik Motif Classification on Mobile Devices is an emerging concern for researchers and policy makers. Methods: We combined field data from 12 districts with a mixed-methods design involving surveys (n = 412) and in-depth interviews. Results: The proposed approach improved outcomes by 18.4% compared with baseline, with strong effects in low-resource settings. Conclusion: Findings support the integration of deep learning into regional planning and suggest directions for future studies.
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Copyright (c) 2024 Ahmad Hidayat
This work is licensed under a Creative Commons Attribution 4.0 International License.
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