Abstract: The recognition and classification of traffic signs hold significant significance within intelligent transportation systems and autonomous vehicles ... The choice of which network to use ...

The main purpose of this research is to develop a smart waste management system using the deep learning model that improves ... By integrating the trained model on TensorFlow Lite and Raspberry Pi 4, ...

First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image ...

The dataset file (uhat_dataset.npz) containing the training and testing images/labels is required to run the code. The initial CNN attempts (v1_basic_nn.py, v2_cnn.py) struggled significantly with ...