Deep Learning CNN Project
Recognition of 58 Traffic Sign Classes using CNN & Keras, applied in Autonomous Driving Systems
Recognition of 58 Traffic Sign Classes using CNN & Keras, applied in Autonomous Driving Systems
This project applies a Convolutional Neural Network (CNN) built with Keras to classify 58 types of traffic signs. The model was trained on thousands of real-world images to support autonomous driving and intelligent transportation systems.
Dataset includes 58 traffic sign categories with thousands of labeled images.
Our CNN model includes multiple convolutional, pooling, and dense layers designed to extract meaningful features from traffic sign images.
Upload a traffic sign image to see predictions (Demo UI only, not functional on this site).
Check out the source code on GitHub:
View on GitHub