This project implements a weapon detection system using Python, Jupyter Notebook, and the YOLO (You Only Look Once) model. The primary focus is on detecting guns within images, leveraging advanced Digital Image Processing techniques.
- Object Detection: Utilizes the YOLO model for real-time object detection. • Assisted police in identifying dangerous situations by detecting guns in images.
- Weapon Identification: Specifically trained to detect guns in various images. • Implemented a pre-trained model on a custom dataset specifically created for detecting weapons.
- Digital Image Processing: Applies advanced techniques to enhance detection accuracy and performance. • Enhanced security by using computer vision and deep learning to identify weapons in images and video streams.
- Clone the Repository
git clone https://github.com/yourusername/Weapon-Detection.git cd Weapon-Detection - pip install -r requirements.txt
