Feature Enhancement with Object Detection

Explain the YOLO object detection approach at a conceptual level (bounding boxes, class probabilities).

Set up and run a pretrained YOLOv8 model from the Ultralytics library on meal images to detect food items.

Write a script to process YOLO outputs to extract bounding box coordinates and class labels for detected items.

Estimate food portion sizes by calculating the area of detected food items relative to a reference object (e.g., the plate).