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https://github.com/devdezzies/gtsrb-traffic-vision

Replicating LeNet-5 convolutional neural network architecture with PyTorch to predict traffic signs using German Traffic Sign Recognition Benchmark (GTSRB) dataset.
https://github.com/devdezzies/gtsrb-traffic-vision

computer-vision convolutional-neural-networks deep-learning image-classifier lenet-5 machine-learning pytorch self-driving-car

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Replicating LeNet-5 convolutional neural network architecture with PyTorch to predict traffic signs using German Traffic Sign Recognition Benchmark (GTSRB) dataset.

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# GTSRB Traffic Vision with LeNet-5 (modified)
An image classifier using Convolutional Neural Network (CNN) to predict German traffic signs.

![alt text](assets/banner.png)
[_source_](https://www.kaggle.com/datasets/meowmeowmeowmeowmeow/gtsrb-german-traffic-sign?select=Train.csv)

# Overview dataset
German Traffic Sign Recognition Benchmark (GTSRB) is a large multi-category classification benchmark. The first was used in a competition at IJCNN 2011. The images are classified into 43 classes, consisting of 26640 training labeled images and 12630 testing set.

![sample](assets/image.png)

# Models
There are few trained models with different configuration and CNN architecture
* GTSRBModelV0
* GTSRBModelV1 (work in progress)

# Sample Predictions
![sample](assets/sample.png)
**model:** GTSRBModelV0