Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157313
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dc.contributor.authorTeo, Zhi Kaien_US
dc.date.accessioned2022-05-13T07:23:55Z-
dc.date.available2022-05-13T07:23:55Z-
dc.date.issued2022-
dc.identifier.citationTeo, Z. K. (2022). Training deep network models for accurate recognition of texts in scenes. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157313en_US
dc.identifier.urihttps://hdl.handle.net/10356/157313-
dc.description.abstractThe purpose of this report investigates and implement different state-of-the-art deep learning network models for the recognition of various text in scenes. Furthermore, fine-tuning of parameters and modifying of the model is conducted to investigate the effect and the changes to the accuracy.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleTraining deep network models for accurate recognition of texts in scenesen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLu Shijianen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.supervisoremailShijian.Lu@ntu.edu.sgen_US
item.grantfulltextrestricted-
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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