Real-time pothole and crack detection for safer roads: A VGG-16 and CNN approach
The detection xof surface anomalies, such as potholes and cracks, in a timely and accurate manner is crucial for road safety. In this paper, we have proposed a deep learning based approach. We have used a pre-trained VGG-16 model for robust feature extraction and a custom CNN for classification. Our model has an accura...