Built an object detection system using the YOLOv8 model from Ultralytics, applied directly to images, video files, and real-world objects using a live webcam. What I did: Integrated YOLOv8 with OpenCV for real-time object detection without custom training. Detected objects from the COCO dataset with bounding boxes, class names, and confidence scores. Used YOLOv8n for speed and YOLOv8l for higher accuracy, depending on the use case. Added FPS monitoring and clean visual output using cvzone. Technologies used: Python, OpenCV, Ultralytics YOLOv8, cvzone This project gave me practical experience with real-time deep learning inference, computer vision pipelines, and video stream processing. GitHub Repository: https://github.com/aayushkumbharkar/YOLOv8-Object-Detection