YOLOv5 object detection based Road sign detection
-
Updated
Sep 20, 2022 - Jupyter Notebook
#
road-sign-recognition
Here are 5 public repositories matching this topic...
Classify traffic signs by using the AlexNet and GoogLeNet architecture using GTSRB dataset and comparing the two
tensorflow jupyter-notebook kaggle classification alexnet deeplearning googlenet traffic-sign-classification gtsrb gtsrb-dataset road-sign-recognition
-
Updated
Jul 18, 2022 - Jupyter Notebook
The Road Sign Recognition project is a real-time detection system designed to recognize road signs across 43 different classes. The project leverages the YOLOv5 model, which is trained on the GTSRB - German Traffic Sign Recognition Benchmark dataset.
python open-source opencv machine-learning computer-vision image-processing traffic-signs traffic-sign-classification traffic-sign-recognition road-signs yolov5 road-sign-recognition road-sign-detection
-
Updated
Dec 11, 2024 - Python
Neural Network to classify Road Signs based on their images
deep-learning neural-network tensorflow gpu classification image-recognition opencv-python scikitlearn-machine-learning road-sign-recognition
-
Updated
Oct 12, 2022 - Python
Arduino car with Lane Detection and Road Sign Recognition using deep learning
-
Updated
Jun 9, 2022 - Python
Improve this page
Add a description, image, and links to the road-sign-recognition topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the road-sign-recognition topic, visit your repo's landing page and select "manage topics."