Assessing the utility of synthetic images for computer vision tasks
In computer vision, machine learning requires huge amount of training data in order to achieve a better accuracy in object recognition. However, collecting real images that covers all kinds of intra-category variations is both tedious and time-consuming. Hence, 3D CAD models is used to overcome the...
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| Formato: | Final Year Project (FYP) |
| Idioma: | English |
| Publicado em: |
2016
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| Acesso em linha: | http://hdl.handle.net/10356/67487 |