German Traffic Sign Recognition Benchmark (GTSRB) AlexNet pycaffe model. http://benchmark.ini.rub.de/
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Oct 21, 2019 - Python
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german-traffic-sign-classifier
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Recognizing Traffic signs from GTSRB dataset ||:red_circle:||:small_red_triangle:||:small_red_triangle_down:||
template-matching random-forest sklearn hog-features opencv-python german-traffic-sign-classifier traffic-sign-classification numpy-arrays laplacian-detector
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Dec 14, 2019 - Python
Use of Deep neural networks and convolutional neural networks to classify German traffic signs. Try this app :- https://trafficsignapp.herokuapp.com/
python deep-learning neural-network tensorflow convolutional-neural-networks german-traffic-sign-classifier gtsrb-dataset
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Oct 23, 2021 - Python
~99% training accuracy. This project focuses on building a deep learning model for traffic sign recognition. The model can classify traffic signs into their respective categories using image data. This application can be integrated into autonomous driving systems to enhance road safety.
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Jan 13, 2025 - Python
Feature extraction network using AlexNet and TensorFlow to use on the German Traffic Sign Recognition Benchmark dataset
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Jul 21, 2019 - Python
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