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Using synthetic data in combination with Deep Learning, to determine if a system can be made that will be able to recognise and classify correctly real traffic signs.

License: MIT License

Python 0.52% Jupyter Notebook 99.48%

traffic-sign-recognition-basd-on-synthesised-training-data's Introduction

๐Ÿ‘‹ Hi, Iโ€™m Kristian, software engineer and Curtin University Advanced Science (Honours) graduate.

๐Ÿ‘€ Iโ€™m interested in deep learning, economic and environmental sustainability, space exploration and rocketry, longevity, investing, data from my life, and technology in general.

๐ŸŒฑ Iโ€™m currently learning, among other things, to develop apps with Flutter.

โญ I finished my honours thesis on synthetic dataset generation for traffic sign detection at the end of 2022 (although I do want to revise it and continue work on the project). Here is a digital poster presentation summarising my 2021 work on the same project (where I had ~1/3 of the time). During the thesis I wrote a conference paper, for which the now rather out-of-date code can be found in this repo (the most recent code and experiments have yet to be published).

๐Ÿ“ซ Contact:
LinkedIn: @kristian-rados
Twitter: @kristian_rados
Email: [email protected]

โš  Most of my university assignments below have lacklustre documentation, but each one should have an assignment specification in the form of a PDF or MD file. A quick skim read or ctrl+F search should clear up any confusion.

traffic-sign-recognition-basd-on-synthesised-training-data's People

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