YOLOv5 for Object Detection and Classification

YOLOv5 (You Only Look Once) is a state-of-the-art real-time object detection model used for image classification tasks. This repository includes a highly efficient implementation of YOLOv5 that allows for fast and accurate object detection. The project provides pre-trained weights for detecting multiple classes and is optimized for deployment in both cloud and edge devices. The implementation is flexible and includes options for training the model on custom datasets, evaluating performance, and improving detection accuracy. It also features real-time video processing capabilities.