weapon Detection using YOLOv8

This project implements a weapon detection system using the YOLOv8 (You Only Look Once) object detection model. The system can identify and extract weapon from images with high accuracy and speed.

Features

Detects weapon in images and videos Utilizes the latest YOLOv8 model for high performance Supports multiple image formats (JPEG, PNG, etc.) Requirements Python 3.x OpenCV NumPy PyTorch ultralytics (for YOLOv8)

Installation

Clone the repository: git clone https://github.com/rahulbiradar06/weapon-detection.git

then add yoloV8 files in YOLO-Weights directory

Acknowledgements

YOLOv8 by Ultralytics OpenCV PyTorch

Purchase YOLOv8 Weight Files

To achieve the best performance, you can purchase our optimized YOLOv8 weight files. These weights are fine-tuned for weapon detection, providing high accuracy and speed. For purchasing details and licensing information, please contact me at [rahulbiradar0601@gmail.com].