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🌭 Hotdog. Not Hotdog

This project implements a real-time object detection system that identifies hotdogs in images and live webcam video using a pretrained YOLOv8 model.


Features

  • Real-time hotdog detection using webcam
  • Bounding box visualization with confidence scores

Model Details

  • Model: YOLOv8n (nano)
  • Dataset: COCO (pretrained)
  • Framework: Ultralytics YOLO
  • Class of interest: "hot dog"

Installation

git clone https://github.com/YOUR_USERNAME/hotdog-detector.git
cd hotdog-detector

pip install -r requirements.txt

About

A real-time computer vision system that detects hotdogs in images and live webcam feeds using the YOLOv8 object detection model. Built with Ultralytics YOLO and OpenCV, the project demonstrates end-to-end inference pipelines, bounding box visualization, and confidence-based filtering using a pretrained COCO model.

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