Classify Traffic Signs

• Tech Stack: Python Deep Learning Convolutional Neural Networks (CNN) Jupyter Notebook
• Github URL: Project Link

Key Features:

1. Traffic Sign Classification: Train deep Convolutional Neural Networks (CNNs) to classify 43 different classes of traffic sign images.

2. Hands-on Project: Learn and implement the tasks involved in traffic sign classification using deep learning models.

3. Image Visualization: Visualize the traffic sign images to gain insights and understanding of the dataset.

4. Image Preprocessing: Convert the images to grayscale and perform normalization to prepare them for model training.

5. Model Building: Build a deep learning model, specifically a CNN, for traffic sign classification.