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International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering
International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2321-2004ISSN Print 2321-5526Since 2013
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← Back to VOLUME 11, ISSUE 10, OCTOBER 2023

Neural Network based Traffic sign Survey

Donerao Shital Suresh, Dawane Savita Ramkrushnarao

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Abstract: Traffic sign classification is one of the most important aspect to be considered in our day to day life. Traditionally, traffic signs have been categorized using standard computer vision methods, but it also takes lot of time to manually process important features of the image. To solve This problem, many people are using deep learning techniques.

In this paper we have proposed a method for Traffic sign classification.

Keywords: Advanced Driver Assistance, traffic sign classification, deep learning, convolution neural networks.

How to Cite:

[1] Donerao Shital Suresh, Dawane Savita Ramkrushnarao, β€œNeural Network based Traffic sign Survey,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2023.111005

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