Object Detection Web Application with YOLOv8

Developed an end-to-end object detection system using the kadirnar/yolov8n-v8.0 model, integrated into a Flask-based web application. The application allows users to upload images and receive annotated outputs with detected objects, bounding boxes, and confidence scores.