This project aims to train a PyTorch model to detect and identify traffic signs. The images used come from the GTRSB (German Traffic Sign Recognition Benchmark) dataset, available on TorchVision. The project was carried out in five steps:

PyTorch Traffic Sign Classification: A robust CNN model for accurate traffic sign recognition. This project includes a custom-built CNN using PyTorch, data augmentation techniques for improved accuracy, and a real-time testing feature using a webcam.

German Traffic Sign Detection Benchmark (GTSDB) dataset is trained on Faster R-CNN for object detection. - sidthoviti/Traffic-Sign-Detection-with-Faster-R-CNN-using-PyTorch

Apr 4, 2022 · Learn how to train a custom object detection model for traffic sign detection using PyTorch and Faster RCNN model.

Mar 27, 2019 · This is my attempt to tackle traffic signs classification problem with a deep neural network implemented in PyTorch (reaching 99.33% accuracy). The highlights of this solution would be data…

Sep 9, 2017 · In this project, a traffic sign recognition system, divided into two parts, is presented. The first part is based on classical image processing techniques, for traffic signs extraction out of a video, whereas the second part is based on machine learning, more explicitly, convolutional neural networks, for image labeling.

Traffic-Signs Recognition and Classification. In this part, I trained a neural network to detect and classify different traffic signs using PyTorch, YOLOv3 and OpenCV.

Dec 10, 2020 · Traffic Sign Detection on GTSDB dataset by implementing Faster R-CNN using PyTorch. Explores object detection and finetuning.

This project presents a deep learning architecture that can identify traffic signs with close to 98% accuracy on the test set. We start from building a simple CNN model, and later on apply different image processing techniques such as Grayscale Conversion, Normalisation, Histogram Equalization and Data Augmentation to see how they can enhance ...

A deep-learning traffic sign detection and recognition project, using convolutional neural networks and vision transformers, with PyTorch and OpenCV over the GTSRB - German Traffic Sign. There are three main components currently planned for this project: Traffic Sign Classification - …