Welcome to the German Traffic Sign Recognition project! This repository contains a robust deep learning-based system for accurately identifying and classifying German traffic signs. The project achieves an outstanding accuracy rate of over 96%, showcasing its effectiveness in real-world scenarios. Leveraging a simple CNN model, this solution contributes to improved road safety by providing reliable and fast traffic sign recognition. The repository includes comprehensive documentation, code, and pretrained models, enabling users to understand, reproduce, and extend the capabilities of this successful traffic sign recognition system. Feel free to explore, contribute, and integrate this solution into your own projects!
👋 Hi there! I'm Mainak Mukherjee, a passionate and ambitious B.Tech student with a strong drive to become a Data Scientist and Data Analyst. Welcome to my data-driven journey!
- numpy
- sklearn
- matplotlib
- seaborn
- tensorflow
- keras
- os
- random
NOTE: I have modified the file structure of the actual dataset for the Test directory. Feel free to send an email at [email protected] for the code!
If you have any feedback, please reach out to me at [email protected]