🚗 Traffic Detection CNN

A computer vision project using convolutional neural networks for real-time object detection in traffic environments. The model was trained on diverse datasets of urban scenes to accurately identify and classify vehicles and pedestrians. Following engineering design principles, the project involved dataset curation, model architecture design, training optimization, and performance evaluation in various lighting and weather conditions.