Synthetic License Plate Data Augmentation Based on Generative Adversarial Networks
碩士 === 國立臺灣海洋大學 === 電機工程學系 === 107 === The main objective of this thesis is to investigate how effective generative adversarial networks can be a data augmentation tool that is able to enhance the performance of a license plate recognition application based on convolutional neural network. In our ex...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/rtr525 |