Traffic Sign Detection 🇩🇪 Praktische Implementierung einer Verkehrszeichenerkennung mit OpenCV und Tensorflow im Rahmen einer Studienarbeit.
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Updated
Apr 8, 2024 - Python
Traffic Sign Detection 🇩🇪 Praktische Implementierung einer Verkehrszeichenerkennung mit OpenCV und Tensorflow im Rahmen einer Studienarbeit.
Convolutional Neural Networks (CNN) with Computer Vision (CV) for GTSRB Traffic Sign Classification
Robust Transformer with Locality Inductive Bias and Feature Normalization (JESTECH 2023)
Notebook and model for German Traffic Sign Recognition Benchmark (GTSRB) Dataset. The notebook contains an extensive EDA for the dataset and trains a CNN classifier on the benchmark.
Detect and Analyze Trojan attacks on deep neural networks that are designed to be difficult to detect.
Comparison of Different CNN Frameworks for image classification. TensorFlow
Classify traffic signs by using the AlexNet and GoogLeNet architecture using GTSRB dataset and comparing the two
Detect traffic sign and recognize them using Image Processing algorithms and Machine Learning(Random Forest)
Training a VGG16 Network to Classify Traffic Signs using the German Traffic Sign Recognition Benchmark (GTSRB)
Dieses Projekt beschäftigt sich mit der Entwicklung eines flachen CNN zur Erkennung von Verkehrsschildern. Das Projekt beinhaltet alle dazu benötigten Programme und Tools.
Building autonomous vehicles from the ground up!
Part of my Master Thesis in Autonomous Driving.
TensorFlow Lite classification model for German Traffic Sign Benchmarks dataset, built on top of MobileNet v1
Open source neural network solutions for the GTSRB challenge
A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"
Traffic Sign Classification (GTSRB dataset) using Random Forest Classifier
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