Real-time object detection

This project uses YOLOv8 and OpenCV to perform real-time object detection with a webcam.
It detects objects like people, cars, animals, and more, and displays them on the screen with bounding boxes and labels.

Features

• Real-time detection using your webcam
• YOLOv8 nano (yolov8n.pt) pretrained model for fast performance
• Displays detection boxes and confidence scores
• Can be modified to detect objects in images or video files

Installation

1. Clone this repository:

git clone https://github.com/yourusername/object-detection.git
cd object-detection

2. Create a virtual environment:

python -m venv venv

3. Activate virtual environment:

venv\Scripts\activate

4. Install dependencies::

pip install ultralytics opencv-python

5. Run real-time webcam detection::

python main.py

Results

• Here are my screenshots showing detection results