In this study, we propose a novel lightweight model specifically for reliable traffic perception in low-light conditions, utilizing an encoder-decoder architecture. The proposed framework begins with ...

Behavioral Patterns,Bidirectional Encoder Representations,Business,CNN Model,Classification Results,Consumer Behavior,Consumer Preferences,Consumer Purchase Behavior ...

A CNN-based image classifier built with PyTorch and FastAPI. Features model training, evaluation metrics, visualizations, and a web interface for real-time predictions. Includes comprehensive ...

This project implements a Convolutional Neural Network (CNN) for image classification. It includes scripts for training and evaluating the model, as well as preprocessing the dataset.