Traffic Light Detector

A deep learning project that detects and classifies traffic signs using TensorFlow and Python.

Features

• Traffic sign detection and classification
• Built with TensorFlow and Keras
• Uses CNN architecture
• Supports multiple traffic sign types

Requirements

• Python 3.x
• TensorFlow
• OpenCV
• NumPy
• Pandas
• Matplotlib
• scikit-learn
• Pillow

Installation

1. Clone the repository
2. Install dependencies:

pip install -r requirements.txt

Usage

Run the Jupyter notebook Traffic_signal_recog.ipynb to train and test the model.