Object detection and counting using Machine learning and Yolo

This project demonstrates the development and deployment of a custom computer vision model designed to categorize and detect specific items within a targeted mobile application environment. By leveraging the YOLOv8 (You Only Look Once) architecture and the Roboflow ecosystem, the workflow establishes a scalable pipeline for custom object detection.