Enhancing artistic analysis through deep learning: a graphic art element recognition model based on SSD and FPT
For the analysis of art works, accurate identification of various elements of works through deep learning methods is helpful for artists to appreciate and learn works. In this study, we leverage deep learning methodologies to precisely identify the diverse elements within graphic art designs, aiding...
Main Author: | Zixuan Zhao |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2024-01-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-1761.pdf |
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