คำอธิบาย
Safety Detection with YOLOv8
Welcome to the Safety Detection YOLOv8 project! This initiative leverages YOLOv8, a cutting-edge object detection model, to enhance safety measures by identifying and classifying objects related to personal protective equipment (PPE). The primary objective is to ensure compliance with safety standards in various environments.
Introduction
Safety Detection YOLOv8 is an advanced computer vision project designed for real-time object detection. By employing YOLOv8, the model identifies various safety-related objects such as hardhats, masks, safety vests, and more..
Features
Real-time Object Detection: Leverage the power of YOLOv8 for rapid and accurate identification of safety-related objects.
Classified Compliance: Categorize detected objects as compliant or non-compliant based on safety standards.
Customizable: Easily adapt the model for different safety scenarios or extend the list of detectable objects.
