Treffer: Traffic Sign Classification Using Convolutional Neural Networks and Computer Vision

Title:
Traffic Sign Classification Using Convolutional Neural Networks and Computer Vision
Source:
Turkish Journal of Computer and Mathematics Education (TURCOMAT); Vol. 12 No. 3 (2021); 4244 - 4250; 3048-4855
Publisher Information:
Ninety Nine Publication 2021-04-11
Document Type:
E-Ressource Electronic Resource
Availability:
Open access content. Open access content
Note:
application/pdf
English
Other Numbers:
INNNP oai:ojs2.turcomat.org:article/1715
1432769879
Contributing Source:
NINETY NINE PUBN
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1432769879
Database:
OAIster

Weitere Informationen

The world is quickly and continuously advancing towards better technological advancements that will make life quite easier for us, human beings [22]. Humans are looking for more interactive and advanced ways to improve their learning. One such dream is making a machine think like a computer, which lead to innovations like AI and deep learning [25]. The world is running at a higher pace in the domain of AI, deep learning, robotics and machine learning Using this knowledge and technology, we could develop anything right now [36]. As a part of sub-domain, the introduction of Convolution Neural Networks made deep learning extensively strong in the domain of image classification and detection [1]..The research that we have conducted is one of its kind. Our research used Convolution Neural Network, TensorFlow and Keras.