https://github.com/muntahashams/german-traffic-sign-classification

German-Traffic-Sign-Classification
https://github.com/muntahashams/german-traffic-sign-classification

cnn cnn-classification german-traffic-sign-classifier german-traffic-signs python tensorflow

Last synced: 4 months ago
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German-Traffic-Sign-Classification

• Host: GitHub
• URL: https://github.com/muntahashams/german-traffic-sign-classification
• Owner: MuntahaShams
• Created: 2020-10-24T12:59:54.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-04-16T22:43:08.000Z (about 4 years ago)
• Last Synced: 2025-01-13T11:29:56.046Z (5 months ago)
• Topics: cnn, cnn-classification, german-traffic-sign-classifier, german-traffic-signs, python, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 8.48 MB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# German Traffic Sign Classification 

**In this project, I used Python and TensorFlow to classify traffic signs.**

**Dataset used: German Traffic Sign Dataset.

This dataset has more than 50,000 images of 43 classes.**

Download the dataset from [here](https://www.kaggle.com/meowmeowmeowmeowmeow/gtsrb-german-traffic-sign).

**I was able to reach a +99% validation accuracy, and a 97.6% testing accuracy.**

## Pipeline architecture:

- **Load The Data.**

- **Dataset Summary & Exploration**

    - turning data into tensors

    - Getting images and their labels

    - turning images into tensors

- **Data Preprocessing**.

    - Normalization

    - resize

- **Design a Model Architecture.**

   -CNN Model

- **Model Training and Evaluation.**

- **Testing the Model Using the Test Set.**

#### Environement:

-  Python 3.7

-  TensorFlow 2.4.1 (GPU support)