Deep neural networks have been used for traffic sign recognition and have obtained promising results. However, most of the previous work is confined to one specific task of recognition, which restricts the achievement of high performance due to many parameters (like, for instance, a reduced dataset size).
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In this paper, a deep learning based road traffic signs recognition method is developed which is very promising in the development of Advanced Driver ...
3 days ago · In this Deep Learning project, we will build a model for the classification of traffic signs recognition using CNN and Keras library.
May 11, 2023 · Alghmgham et al., (2019) [14] developed an autonomous traffic sign detection and recognition system using a deep learning approach with CNN. ...
This paper presents a deep-learning-based autonomous scheme for cognizance of traffic signs in India. The automatic traffic sign detection and recognition was ...
The CNN deep learning network used in this paper can conduct training while identifying targets, effectively improve the recognition accuracy of traffic signs.
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Duration: 36:39
Posted: Nov 16, 2023
Posted: Nov 16, 2023
This paper gives an overview of the traffic road sign detection and recognition system, we developed and implemented using an artificial neural network which is ...
The aim is to leverage the knowledge gained from a pre-existing dataset of traffic signs in a particular country/region to improve the recognition accuracy for ...
This paper proposes a traffic sign recognition technique formulated on deep learning, taking into consideration the main objective of identifying as well as ...
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