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Duration: 36:39
Posted: Nov 16, 2023
Posted: Nov 16, 2023
Jan 18, 2024 · This work aims to develop a unified model for multi-class sign recognition in complex environmental conditions.
Oct 8, 2024 · In this Deep Learning project, we will build a model for the classification of traffic signs recognition using CNN and Keras library.
May 8, 2024 · This study aims to pave the way for the development of more sophisticated, flexible, and well-tuned traffic sign detection and identification systems by ...
Aug 16, 2024 · Deep learning object detectors can perform localization and recognition in a single forward-pass of the network — if you're interested in learning more about ...
Apr 11, 2024 · An efficient CNN model for a benchmark dataset is developed for real-time detection and recognition using Deep Learning techniques.
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Jul 21, 2024 · This work is aimed at detecting and recognizing the street view traffic signs (TSD-R) images from dataset using deep learning techniques.
Nov 28, 2023 · The CNN deep learning network used in this paper can conduct training while identifying targets, effectively improve the recognition accuracy of traffic signs.
May 2, 2024 · This paper proposes a traffic sign recognition technique formulated on deep learning, taking into consideration the main objective of identifying as well as ...
Mar 5, 2024 · Most traffic sign detection methods are based either on the sign's colour and/or shape information or on machine learning and deep learning methods [19]. Colour ...
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