Augmenting image data using noise, rotation and shifting
Image augmentation is widely used in preprocessing modules in the field of machine learning. It can not only solve the under-fitting problem caused by the scarcity of data sets, but also increase the robustness of the model, thereby improving the model's generalization ability and reducing over...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/179036 |